CLOUD CPOMPUTING SECURITY

CLOUD COMPUTING SECURITY FROM SINGLE TO MULTI CLOUDS 1
NMAMIT, Nitte Department of MCA 2014
Chapter 1
INTRODUCTION
The use of cloud computing has increased rapidly in many organizations small and
medium companies use cloud computing services for various reasons, including because
these services provide fast access to their applications and reduce their infrastructure
costs.
Cloud providers should address privacy and security issues as a matter of high and urgent
priority. Dealing with “single cloud” providers is becoming less popular with customers
due to potential problems such as service availability failure and the possibility that there
are malicious insiders in the single cloud. In recent years, there has been a move towards
“multi-clouds”, “inter-cloud” or “cloud-of-clouds”.
This project focuses on the issues related to the data security aspect of cloud computing.
As data and information will be shared with a third party, cloud computing users want to
avoid an untrusted cloud provider. Protecting private and important information, such as
credit card details or a patient’s medical records from attackers or malicious insiders is of
critical importance. In addition, the potential for migration from a single cloud to a multi-
cloud environment is examined and research related to security issues in single and multi-
clouds in cloud computing is surveyed.
1.1 Objective
The Objective of the system is to Block the attackers in cloud servers automatically
using automatic protocol, computing the cloud securely, secret sharing with
Byzantine failure and proving the data integrity and batch auditing by the data
owners.
1.2 Organization Profile
An impact technology is an IT solution provider for a dynamic environment where
business and technology strategies converge. Their approach focuses on new ways of
business combining IT innovation and adoption while also leveraging an organization’s
current IT assets. Their work with large global corporations and new products or services
and to implement prudent business and technology strategies in today’s environment.

Range of Expertise Includes
 Software Development Services
 Engineering Services
 Systems Integration
 Customer Relationship Management
 Product Development
 Electronic Commerce
 Consulting
 IT Outsourcing
We apply technology with innovation and responsibility to achieve two broad objectives:
 Effectively address the business issues our customers face today.
 Generate new opportunities that will help them stay ahead in the future.
This Approach Rest On
 A strategy where we architect, integrate and manage technology services and
solutions - we call it AIM for success.
 A robust offshore development methodology and reduced demand on customer
resources.
 A focus on the use of reusable frameworks to provide cost and times benefits.
They combine the best people, processes and technology to achieve excellent results -
consistency. We offer customers the advantages of:
Speed
They understand the importance of timing, of getting there before the competition. A rich
portfolio of reusable, modular frameworks helps jump-start projects. Tried and tested
methodology ensures that we follow a predictable, low - risk path to achieve results. Our
track record is testimony to complex projects delivered within and evens before schedule.

Expertise
Our teams combine cutting edge technology skills with rich domain expertise. What’s
equally important - they share a strong customer orientation that means they actually start
by listening to the customer. They’re focused on coming up with solutions that serve
customer requirements today and anticipate future needs.
A Full Service Portfolio
They offer customers the advantage of being able to Architect, integrate and manage
technology services. This means that they can rely on one, fully accountable source
instead of trying to integrate disparate multi-vendor solutions.
Services
Impact Solutions is providing its services to companies which are in the field of
production, quality control etc. with their rich expertise and experience and information
technology they are in best position to provide software solutions to distinct business
requirements.

Chapter 2
LITERATURE SURVEY
Literature survey is the most important step in software development process. Before
developing the tool it is necessary to determine the time factor, economy and company
strength. Once these things are satisfied, ten next steps are to determine which operating
system and language can be used for developing the tool. Once the programmers start
building the tool the programmers need lot of external support. This support can be
obtained from senior programmers, from book or from websites. Before building the
system the above consideration are taken into account for developing the proposed
system.
We have to analysis the Knowledge and Data Engineering and Cloud:
2.1 Data & Knowledge Engineering (DKE)
Data & Knowledge Engineering (DKE) is a journal in database systems and
knowledge base systems. It is published by Elsevier. It was founded in 1985, and is held
in over 250 academic libraries. The editor-in-chief is P.P. Chen (Dept. of Computer
Science, Louisiana State University, USA) This particular journal publishes 12 issues a
year. All articles from the Data & Knowledge Engineering journal can be viewed on
indexing services like Scopus and
2.2 Knowledge engineering (KE)
KE is an engineering discipline that involves integrating knowledge into computer
systems in order to solve complex problems normally requiring a high level of human
expertise.
At present, it refers to the building, maintaining and development of knowledge-
based systems. It has a great deal in common with software engineering, and is used in
many computer science domains such as artificial intelligence, including databases, data
mining, expert systems, decision support systems and geographic information systems.
Knowledge engineering is also related to mathematical logic, as well as strongly involved
in cognitive science and socio-cognitive engineering where the knowledge is produced by
socio-cognitive aggregates (mainly humans) and is structured according to our
understanding of how human reasoning and logic works.

Various activities of KE specific for the development of a knowledge-based system:
 Assessment of the problem
 Development of a knowledge-based system shell/structure
 Acquisition and structuring of the related information, knowledge and specific
preferences (IPK model)
 Implementation of the structured knowledge into knowledge bases
 Testing and validation of the inserted knowledge
 Integration and maintenance of the system
 Revision and evaluation of the system.
Knowledge engineering principles
Since the mid-1980s, knowledge engineers have developed a number of principles,
methods and tools to improve the knowledge acquisition and ordering. Some of the key
principles are:
 There are different:
 Types of knowledge each requiring its own approach and technique.
 Types of experts and expertise, such that methods should be chosen
appropriately.
 Ways of representing knowledge, which can aid the acquisition, validation
and re-use of knowledge.
 Ways of using knowledge, so that the acquisition process can be guided by
the project aims (goal-oriented).
 Structured methods increase the efficiency of the acquisition process.
 Knowledge Engineering is the process of eliciting Knowledge for any purpose be
it Expert system or AI development
2.3 Introduction to Data Mining and Cloud
Data mining (also known as Knowledge Discovery in Databases - KDD) has been
defined as "The nontrivial extraction of implicit, previously unknown, and potentially
useful information from data" It uses machine learning, statistical and visualization
techniques to discover and present knowledge in a form which is easily comprehensible
to humans.
As data and information will be shared with a third party, cloud computing users want to
avoid an untrusted cloud provider. Protecting private and important information, such as
credit card details or a patient’s medical records from attackers or malicious insiders is of

critical importance. In addition, the potential for migration from a single cloud to a multi-
cloud environment is examined and research related to
security issues in single and multi-clouds in cloud computing are surveyed.
2.4 System Architecture
Figure 2.4.1: system Architecture
2.5 Project Methodology
The different phases of project development that have actually been put to use are
as follows:
 Analysis
 Design
 Coding
 Testing
Analysis Phase
The analysis phase denies the requirements of the system, independent of how
these requirements will be accomplished. We gain thorough understanding of objectives,
determine available options and determine how the new system will integrate into
existing systems and workflow. This is very critical phase in development of project and
will serve as the blueprint in the development of your system. The deliverable result at the
end of this phase is a requirement document.

Design Phase
We transform the information obtained in the analysis phase (System
specification) into a detailed technical design for a new system. This phase requires
further study of needed functionality and the graphical user interface. The design has been
done keeping one thing in mind i.e. it should be user friendly. The design of the project is
robust and any further changes or improvements can be done easily. The output of the
design phase is a design document.
Coding Phase
During this phase, we construct and develop your system, including integration
with your existing technology. The code written for development of this application
follows the rules and guidelines mentioned by the company.
Testing Phase
Testing is the most important phase to identify and recovery of the bugs that
occurred at the time of coding phase. This phase includes both unit and acceptance
testing. Since the project requirements have been defined, and the system design is
underway, test objectives and strategies are identified and included in the project scope
document, project plane, and project cost estimate.
2.6 Overview on tools
Technology Description
Java technology is used both a programming language and a platform.
2.6.1 The Java Programming Language
Java is a high-level programming language that is all of the following
Simple Architecture-neutral
Object-oriented Portable
Distributed High-performance
Interpreted multithreaded
Robust Dynamic
Secure

Java is also unusual in that each Java program is both compiled and interpreted.
With a compile you translate a Java program into an intermediate language
called Java byte codes the platform-independent code instruction is passed and
run on the computer.
Compilation happens just once; interpretation occurs each time the program is
executed. The figure illustrates how this works.
Fig 2.6.1.1 : java interpreter
You can think of Java byte codes as the machine code instructions for the Java
Virtual Machine (Java VM). Every Java interpreter, whether it’s a Java
development tool or a Web browser that can run Java applets, is an
implementation of the Java VM. The Java VM can also be implemented in
hardware.
Java byte codes help make “write once, run anywhere” possible. You can
compile your Java program into byte codes on my platform that has a Java
compiler. The byte codes can then be run any implementation of the Java VM.
For example, the same Java program can run Windows NT, Solaris, and
Macintosh.
Java Program
Compilers
Interpreter
My Program

2.6.2 THE JAVA PLATFORM
A platform is a hardware or software environment in which a program runs. The
Java platforms differs from other platforms in that it is a software only platform that runs
on the top of the other hardware based platforms.
The Java platform has two components:
1. The Java Virtual Machine
2. The Java Application Programming Interface(API)
Java Virtual Machine is the base of the Java platform and it is ported on to various
hardware based platforms.
The API is a large collection of readymade software components that provide many
useful capabilities. It is grouped into libraries of related classes and interfaces. These
libraries are known as packages.
The API and JVM insulate the program from the underlying hardware. As a platform
independent environment a java platform can be a bit slower than native code.
2.6.3 Java Database Connectivity (JDBCTM
):
Provides uniform access to a wide range of relational databases.
The Java platform also has APIs for 2D and 3D graphics, accessibility, servers,
collaboration, telephony, speech, animation, and more. The following figure
depicts what is included in the Java 2 SDK.
Fig 2.5.3.1 : java 2 SDK

2.6.4 Eclipse IDE For Java
The Eclipse IDE for Java Developers provides superior Java editing with
validation, incremental compilation, cross-referencing, code assist, XML Editor and
much more.
Fig 2.5.4.1 : Eclipse IDE (Helios)
The Eclipse JDT (Java Development Tools) provides the tool plug-ins that
implements a Java IDE, supporting the development of any Java application, including
Eclipse plug-ins adds a Java project nature and Java perspective to the Eclipse
Workbench as well as a number of views, editors, wizards, builders and code merging
and refactoring tools.
2.6.5 SQL Server
A database management, or DBMS, gives the user access to their data and helps
them transform the data into information. Such database management systems include
dBase, paradox, IMS, SQL Server and SQL Server. These systems allow users to create,
update and extract information from their database.
A database is a structured collection of data. Data refers to the characteristics of people,
things and events. SQL Server stores each data item in its own fields. In SQL Server, the
fields relating to a particular person, thing or event are bundled together to form a single
complete unit of data, called a record (it can also be referred to as raw or an occurrence).
Each record is made up of a number of fields. No two fields in a record can have the
same field name.
During an SQL Server Database design project, the analysis of your business needs
identifies all the fields or attributes of interest. If your business needs change over time,
you define any additional fields or change the definition of existing fields.

2.6.6 Tomcat 6.0 web server
Tomcat is an open source web server developed by Apache Group. Apache
Tomcat is the servlet container that is used in the official Reference Implementation for
the Java Servlet and JavaServer Pages technologies. The Java Servlet and JavaServer
Pages specifications are developed by Sun under the Java Community Process. Web
Servers like Apache Tomcat support only web components while an application server
supports web components as well as business components (BEAs Weblogic, is one of the
popular application server).To develop a web application with jsp/servlet install any web
server like JRun, Tomcat etc to run your application.
Fig: 2.5.6.1 Tomcat Webserver

Chapter 3
HARDWARE AND SOFTWARE REQUIREMENTS
3.1 SOFTWARE REQUIREMENTS
 Operating System : Windows95/98/2000/XP
 Application Server : Tomcat5.0/6.X/7.0
 Front End : HTML, Java, Jsp
 Scripts : JavaScript.
 Server side Script : Java Server Pages.
 Database Connectivity: Mysql.
3.2 HARDWARE REQUIREMENTS
 RAM - 4GB
 Processor - Pentium –III & above
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Floppy Drive - 1.44 MB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA

Chapter 4
SOFTWARE REQUIREMENT SPECIFICATION
A software requirement specification (SRS) is a comprehensive description of the
intended purpose and environment for software under development. The SRS fully
describes what the software will do and how it will be expected to perform.
The introduction of the SRS provides an overview of the entire SRS with purpose, scope,
definitions, acronyms, abbreviations, and references. The aim of the document is to gather
and analyze and give an in depth insight of the complete Employee Location Tracker by
defining the problem statement in detail.
4.1 SRS for Single to Multi Cloud
Functional Control the file access at cloud server,
Data Integrity Proof at TPA. File Privacy
Management
Non- Functional Cloud servers never monitors and controls
the TPA
External interface LAN , Routers
Performance Finding File Hacker Information, File
Sharing efficiency fairness
Attributes File Management,tpa,cloud
server,owner,Remote Users, Blocked
Users,Multi Cloud
Table: 3.1 Summaries of SRS
4.1.1 Functional Requirements
Functional Requirement defines a function of a software system and how the system
must behave when presented with specific inputs or conditions. These may include
calculations, data manipulation and processing and other specific functionality. In this
system following are the functional requirements:-
 The Owner will divide the file into ‘N’ number of blocks and has to upload the
each block the individual cloud servers.

 The Cloud server has to authorize the valid remote users. if the Remote user is
hacker then he has to block in the cloud server. The data should be integrated by
the cloud server.
 The Third party auditor has to maintain the error localization and has to monitor
the Cloud Server Activities.
 The Remote user has to user correct Secret key and file name. If anyone is wrong
then he is detected as attacker.
 The Attributes are File Management, tpa, cloud server, owner, Remote user and
blocked user.
4.1.2 Non – Functional Requirements
Non – Functional requirements, as the name suggests, are those requirements that
are not directly concerned with the specific functions delivered by the system. They may
relate to emergent system properties such as reliability response time and store
occupancy. Alternatively, they may define constraints on the system such as the
capability of the Input Output devices and the data representations used in system
interfaces. Many non-functional requirements relate to the system as whole rather than to
individual system features. This means they are often critical than the individual
functional requirements. The following non-functional requirements are worthy of
attention.
The key non-functional requirements are:
 Security: The system should allow a secured communication between Cs and
TPA, User and File Owner
 Energy Efficiency: The Energy consumed by the Users to receive the File
information from the cloud server
 Reliability: The system should be reliable and must not degrade the performance
of the existing system and should not lead to the hanging of the system.

4.1.3 Performance
The network performance can be determined by few terms such as the cloud busy time,
File utilization level, efficiency, fairness and imbalance. The amount of the time the cs
allocated for File transmission and reception is called cs busy time. Similarly channel is
sometimes being idle during communication. The unit of time which makes delay to
transmit a packet is called channel access delay time. The channel or medium utilization
level can be defined as average rate of reliable packets delivered through the channel. The
MAC layer utilization level can be determined by noticing whether the medium is busy or
idle. The binary values are used for indicating MAC layer utilization level. 1,0 are used
for indicating channel is now busy or idle respectively.
The main factor deciding buffer overflow is interface queue length when the queue length
is limited in the network. The main terms that are to be calculated to determine the
network performance are efficiency, fairness and imbalance.
The efficiency of the communication is calculated by number hops the successful packets
travelled to the total number of packets placed (dropped and retransmitted also included)
in the Network.
4.1.4 Problem Definition
The problem of the system incorporates the previous system advantages and extends to
find the unauthorized user, to prevent the unauthorized data access for preserving data
integrity. The proposed system monitors the user requests according the user specified
parameters and it checks the parameters for the new and existing users.
The system accepts existing validated user, and prompts for the new users for the
parameter to match requirement specified during user creation for new users. If the new
user prompts parameter matches with cloud server, it gives privileges to access the Audit
protocol author wise the system automatically blocks the Audit protocol for specific user.
4.1.5 Objective
The Objective of the system is to Block the attackers in cloud servers automatically using
automatic protocol, computing the cloud securely, secret sharing with Byzantine failure
and proving the data integrity and batch auditing by the data owners

Chapter 5
SYSTEM DEFINITION
5.1 UML Diagram
5.1.1 Use case diagram
Use case diagram mainly captures the actor who interacts with system, namely the
UPAA software. An actor is a person, organization or external system that plays a role in
one or more interactions with the system. A use case diagram is a graphical notation for
summarizing actors and use cases. The first step in a typical development effort is to
analyze the description of the system and produce a model of the systems requirements.
It consists of system, actor and use case.
 System: The system is depicted as a rectangle.
 Actor: Each actor is shown as a stick man.
 Use Case: each use case is shown as a solid bordered oval labeled with the name
of the use case.
Figure 5.1.1.1: Usecase Diagram of multi cloud

5.1.2 Activity Diagram
The Activity Diagram captures the dynamic behavior of the system. Activity is a
particular operation of the system. Activity diagrams are not only used for visualizing
dynamic nature of a system but they are also used to construct the executable system by
using forward and reverse engineering techniques. The only missing thing in activity
diagram is the message part.
Login
Client
Register
File upload
Start
End
Cloud Owner Service provider
File verify Verify with Key
File Split with
Key
Hackers
information
Verify with key in
Multi-Cloud
Figure 5.1.2.1: Activity Diagram for multi cloud

5.3 Sequence diagram
Sequence Diagrams are used primarily to design, document and validate the
architecture, interfaces and logic of the system by describing the sequence of actions that
need to be performed to complete a task or scenario. UML sequence diagrams are useful
design tools because they provide a dynamic view of the system behavior which can be
difficult to extract from static diagrams or specifications.
Cloud Owner Client
Cloud Server
Service Provider
File upload to Cloud server
File Spliting and Stored multi Cloud
Owner Verify the Client File
Verifying and generate Key
Verify Client File
Hackers Information
Verify file with Key and Download original File
Figure 5.1.3.1: Sequence Diagram for multi cloud

5.4 Class Diagram
The purpose of the class diagram is to model the static view of an application. The
class diagrams are the only diagrams which can be directly mapped with object oriented
languages and thus widely used at the time of construction. It is the most popular UML
diagram in the coder community.
Figure 5.1.4.2: Class Diagram for multi cloud

5.2 SOFTWARE DEVELOPMENT LIFE CYCLE
The six stages of the Software Development Life Cycle (SDLC) are designed to
build on one another, taking the outputs from the previous stage, adding additional effort,
and producing results that leverage the previous effort and are directly traceable to the
previous stages. This top-down approach is intended to result in a quality product that
satisfies the original intentions of the customer.
Fig 5.2.1 : SDLC Phases
5.2.1 Planning Phase
Planning Phase defines what, when and how the project will be carried out. This
phase expands on the high level project online and provides a specific and detailed project
definition. The most critical section of the project plan is a listing of high-level product
requirements, also referred to as goals. All of the software product requirements to be
developed during the requirements definition stage flow from one or more of these goals.

5.2.2 Requirement Phase
The requirement gathering process takes as its input the goals identified in the high-
level requirements section of the project plan. Each goal will be refined into a set of one
or more requirements. These requirements define the major functions of the intended
application, define operational data areas and reference data areas, and define the initial
data entities. Major functions include critical processes to be managed, as well as mission
critical inputs, output s and reports.
5.2.3 Design Phase
The design stage takes as its initial input the requirements identified in the
approved requirements document. For each requirement, a set of one or more design
elements will be produced as a result of interviews, workshops, and/or prototype efforts.
Design elements describe the desired software features in detail, and generally include
functional hierarchy diagrams, screen layout diagrams, tables of business rules, business
process diagrams, pseudo code, and a complete entity-relationship diagram with a full
data dictionary.
5.2.4 Development Phase
The development stage takes as its primary input to the design elements described
in the approved design document. For each design element, a set of one or more software
artifacts will be produced. Software artifacts include but are not limited to menus, dialogs
and data management forms, data reporting formats, and specialized procedures and
functions. Appropriate test cases will be developed for each set of functionally related
software artifacts, and an online help system will be developed to guide users in their
interactions with the software.
5.2.5 Integration and Test Phase
During the integration and test stage, the software artifacts, online help, and test
data are migrated from the development environment to a separate test environment. At
this point, all test cases are run to verify the correctness and completeness of the software.
Successful execution of the test suite confirms a robust and complete migration
capability.

5.2.6 Installation and Acceptance Phase
During the installation and acceptance stage, the software artifacts, online help and
initial production data are loaded onto the production server. At this point, all test cases
are run to verify the correctness and completeness of the software. Successful execution
of the test suite is a prerequisite to acceptance of the software by the customer. After
customer personnel have verified that the initial production data load is correct and the
test suite has been executed with satisfactory results, the customer formally accepts the
delivery of the software.
The primary outputs of the installation and acceptance stage include a production
application, a completed acceptance test suite, and a memorandum of customer
acceptance of the software.
Conclusion
The structure imposed by this SDLC is specifically designed to maximize the
probability of a successful software development effort. To accomplish this, the SDLC
relies on four primary concepts:
 Scope restriction.
 Progressive Enhancement
 Pre-defined structure
 Incremental Planning
These four concepts combine to mitigate the common risks associated with software
development efforts.
Software engineering paradigm refers to the development strategy that encompasses the
process, methods and tools applied by the software engineer or a team of engineers. These
also term as process models.

Chapter 6
DETAILED DESIGN
Detailed design of the system is the last design activity before implementation begins. The
hardest design problems must be addressed by the detailed design or the design is not complete.
The detailed design is still an abstraction as compared to source code, but should be detailed
enough to ensure that translation to source is a precise mapping instead of a rough interpretation.
Detailed design artifacts are going to contain a large amount of details which, if included in full,
would obscure the point of this page. The detailed design should represent the system design in a
variety of views where each view uses a different modeling technique. By using a variety of
views, different parts of the system can be made clearer by different views. Some views are better
at elaborating a systems state whereas other views are better at showing how data flows within the
system. Other views are better at showing how different system entities relate to each through
class taxonomies for systems that are designed using an object-oriented approach. A template for
detailed design would not be of much use since each detailed design is likely to be unique and
quite different from other designs.
6.1 Input Design
Input design encompasses internal and external program interfaces and the design of the
user interfaces. Internal and external interface designs are guided by the information obtained
from the analysis model. This defines user tasks and actions either an elaborative or object
oriented approach. Various input forms are designed categorically according to the particular need
of the user, which fulfills the every need of the user. Inaccurate input data are the most common
cause of errors in data processing. Errors found at the data entry can be controlled by proper input
design. The input validations are performed at field level. The following are some constraints
used in input design.
 Specifying maximum length for each field
 Specifying format for the data field, which are to be entered
 Specifying the field sequence

6.2 Output Design
The output design minimizes the intellectual distance between the software and the
problem, as it exists in the real world. The design is uniform and integrated. The output generated
is clear and optimized. Output design builds coherent, well-planned representation of programs
that concentrate on the inter relationships of parts at the higher level and logical operations
involved at the lower level. The output is the most important and direct source of information to
the user and help in decision making.
6.3 Code Design
The purpose of code is to facilitate the identification and retrieval of items of information.
A code is an ordered collection of symbols designed to provide unique identification of an entity
or an attribute. Codes are built with mutually exclusive features. Codes in all cases specify objects
physical or on performance characteristics. Codes can show interrelationship among different
items. Codes are used for identifying, accessing and matching records. The code ensure only one
value of code with a single meaning is correctly applied to give entity or attribute

6.4 Data Flow Diagram
Data Flow Diagram (DFD and also called as Data Flow Graph) shows the flow of
data through the system. It views the system as a function that transforms the input into
desired output. DFD provides a mechanism for functional modeling. DFD may be
partitioned into levels that represent increasing information flow and functional details.
The context level DFD represents the entire software element process. The detailed
DFDs are used in the design phase.
The special character “*” is used to represent (AND relationship) the need for multiple
data flows by a process. “+” is used t represent OR relationship between dataflow.
NOTATION DESCRIPTION
BUBBLE (PROCESS). It is the agent
that forms the transformation of data
from one state to another. The process is
shown by named circle.
RECTANGLE. It represents a source or
sink and is net originator or consumer of
data.
ARROW .It represents the flow of data.
DOUBLE LINES. It represents the data
store
Table 6.4.1: Basic DFD Diagram Notations

6.4.1 Context Diagram
A Context Flow Diagram is top –Level (also known as level 0) data flow
Diagram. It only contains one process node (Known as process 0) that generalizes the
function of the entire system in relationship to external entities.
There are only three symbols used in a context diagram:
 A Circle to represent the system in terms of a single process.
 Arrows to represent data flow.
 A rectangle to represent any external entities affecting the system, there can be
numerous external entities.
 A double line represents the data store.
Register
Service provider
Client
Login
Cloud OwnerUser file
User details
Verify with Key
Verify key with
multi-Cloud
Hackers information
File Spliting Change Password
Login Client
File upload with
spliting
File Verify with
Multi-Cloud and Download
Provider Login
File verify
Figure 6.4.1: DFD Diagram for multi cloud

6.5 Entity-Relationship Diagram (ER Diagram)
ER Modeling is widely used for designing databases. The main focus of ER
modeling is the data items in the system and the relationship between them. It aims to
create a conceptual schema (also called the ER model) for the data from the user’s
perspective.
Symbol Meaning
ENTITY TYPE. It defines a collection (or
set) of entities that have the same
attributes. Each entity type in the database
is described by its name and attributes.
The entity set(table) is usually referred to
using the same name as the entity type.
ATTRIBUTE. It represents the structure of
the entity type. If an attribute is composite
(attributes having sub attributes) then its
sub attributes are shown.
RELATIONSHIP. It represents the
relationship between the entity types.
Relationship types may also have
attributes.
LINE. (Partial Participation)It represents
the participating entity types of a
relationship.
KEY ATTRIBUTE. It represents the
structure of the key entity type
Table 6.5.1: Basic ER Diagram Notations
6.5.1 Key terms used in ER-Diagram:
Primary Key (Key Attribute):
In ER-Diagrammatic notation each key attribute has its name underlined inside the oval.
Degree of relationship type:
The degree of a relationship type is the number of participating entity type. A
relationship type of degree two is called Binary relationship and one of degree three is
called Ternary.

Cardinality Ratio:
It specifies the number of relationship instances an entity can participate in. One-
to-one, one-to-many, many-to-many respectively. In ER-Modeling, the main focus is
given on data in the problem and relationship between data items. Through ER model, the
analyst can expect to get complete knowledge of all the data that exist in the system and
how the data is related.

Cloud Owner Provider
verify with Key
User Details
File Verify
Verify with
Multi-Cloud
File Verify
Change
Password
Client
File upload
File Spliting Change Password
Cloud Server
User file
Change password
Verify key with
multi Server
File Download
Figure 6.5.1: ER Diagram for multi cloud
6.6 Table Design
Database is collection of interrelated data stored with minimum redundancy to
serve many users quickly and efficiently. Database designs are designed to manage large
bodies of information and also for easy and flexible retrieval of data.
Every system requires not only data, but also the structure of that data. A Database
Management System (DBMS) collects the structure related files so that many users can
retrieve, manipulate and store data. Here we will be using mysql Server as the DBMS.
Table: Expense_Summery

6.7 Algorithm used
Step1: The username and password is entered it redirect to the admin welcome page.
Step 2: User can register their details in the profile before logging in.
Step 3: The user can create a user id, password and confirm password.
Step 4: After user can upload the new file to multi cloud and download the files
From multi cloud.
Step5: The owner can verify the user file.
Step 6: The employee can send the messages and received the messages to another
employee.
Step 7: After the user how to apply the job and the number of job vacancies to be
viewed.
Step 8: The user can be apply the job for online and then the user will be participated
in the e-test.
Step 9: Finally to view the e-test results and the new employee can register the
particular details.

Chapter 7
IMPLEMENTATION
The implementation is one of the most important tasks in the project. It has one
key activity: deploying the new system in its target environment. Supporting actions
include training end-users and preparing to turn the system over to maintenance
personnel. After this phase, the system enters the Operations and Maintenance Phase for
the remainder of the system’s operational life. Multiple-release projects require multiple
iterations of the Implementation Phase – one for each release.
7.1 Implementation Modules
Module Description:
1. Data Integrity
2. Data Intrusion
3. Service Availability
4. DepSKy System Model
Data Integrity:
One of the most important issues related to cloud security risks is data integrity.
The data stored in the cloud may suffer from damage during transition operations from or
to the cloud storage provider. Cachinet al. gives examples of the risk of attacks from both
inside and outside the cloud provider, such as the recently attacked Red Hat Linux’s
distribution servers.
One of the solutions that they propose is to use a Byzantine fault-tolerant replication
protocol within the cloud. Hendricks et al. State that this solution can avoid data
corruption caused by some components in the cloud. However, Cachinet al.Claim that
using the Byzantine fault tolerant replication protocol within the cloud is unsuitable due
to the fact that the servers belonging to cloud providers use the same system installations
and are physically located in the same place.

Data Intrusion:
According to Garfinkel, another security risk that may occur with a cloud provider,
such as the Amazon cloud service, is a hacked password or data intrusion. If someone
gains access to an Amazon account password, they will be able to access all of the
account’s instances and resources. Thus the stolen password allows the hacker to erase all
the information inside any virtual machine instance for the stolen user account, modify it,
or even disable its services. Furthermore, there is a possibility for the user’s
email(Amazon user name) to be hacked (see for a discussion of the potential risks of
email), and since Amazon allows a lost password to be reset by email, the hacker may
still be able to log in to the account after receiving the new reset password.
Service Availability:
Another major concern in cloud services is service availability. Amazon mentions
in its licensing agreement that it is possible that the service might be unavailable from
time to time. The user’s web service may terminate for any reason at any time if any
user’s files break the cloud storage policy. In addition, if any damage occurs to any
Amazon web service and the service fails, in this case there will be no charge to the
Amazon Company for this failure. Companies seeking to protect services from such
failure need measures such as backups or use of multiple providers.
DepSKy System Model:
The DepSky system model contains three parts: readers, writers, and four cloud
storage providers, where readers and writers are the client’s tasks. Bessani et al. explain
the difference between readers and writers for cloud storage. Readers can fail arbitrarily
(for example, they can fail by crashing, they can fail from time to time and then display
any behavior) whereas, writers only fail by crashing.
7.2 IMPLEMENTATION PROCESS
The system is developed in such a way that the existing facilities are enough for
implementation. The hardware facilities are made sufficient enough to implement the
newly developed. The first step in implementation is the approval from the users.

The workflow of the developed application is as follows:
Welcome Page:
Client Register:

Client Login:
File Upload:

File Stored in Multi-Cloud:
File upload to Multi Cloud:

Cloud Owner Login:
User File:

File Verify Owner :
File Verified:

Provider Login:
File verify:

File verify:
Adding Information to Client File:

While verifying the File it Shown Error:
After Verify:

Client verify File with Key:
Client Verify Server 1:

View Original File and Download

Chapter 8
TESTING AND RESULT
The purpose of testing is to discover errors. Testing is the process of trying to discover
every conceivable fault or weakness in a work product. It provides a way to check the
functionality of components, sub-assemblies, assemblies and/or a finished product It is
the process of exercising software with the intent of ensuring that the Software system
meets its requirements and user expectations and does not fail in an unacceptable manner.
There are various types of test. Each test type addresses a specific testing requirement.
8.1 TESTING METHODOLOGIES
The entire process can be divided into 5 phases
 Functional testing
 System Testing
 Unit Testing
 Integrated Testing
 Acceptance Testing
8.1.1 Functional testing
Functional tests provide a systematic demonstration that functions tested are
available as specified by the business and technical requirements, system documentation,
and user manuals.
Functional testing is centered on the following items:
Valid Input: Identified classes of valid input must be accepted.
Invalid Input: Identified classes of invalid input must be rejected.
Functions: Identified functions must be exercised.
Output: Identified classes of application outputs must be exercised.
Systems/Procedures: Interfacing systems or procedures must be invoked.

Organization and preparation of functional tests is focused on requirements, key
functions, or special test cases. In addition, systematic coverage pertaining to identify
Business process flows; data fields, predefined processes, and successive processes must
be considered for testing. Before functional testing is complete, additional tests are
identified and the effective value of current tests is determined.
8.1.2.System Testing
System testing ensures that the entire integrated software system meets
requirements. It tests a configuration to ensure known and predictable results. An
example of system testing is the configuration oriented system integration test. System
testing is based on process descriptions and flows, emphasizing pre-driven process links
and integration points
8.1.3 Unit Testing
Unit testing is usually conducted as part of a combined code and unit test phase of
the software lifecycle, although it is not uncommon for coding and unit testing to be
conducted as two distinct phases.
8.1.4 Integration Testing
Software integration testing is the incremental integration testing of two or more
integrated software components on a single platform to produce failures caused by
interface defects. The task of the integration test is to check that components or software
applications.
E.g. components in a software system or – one step up – software applications at the
company level – interact without error.
8.1.5 Acceptance Testing
User Acceptance Testing is a critical phase of any project and requires significant
participation by the end user. It also ensures that the system meets the functional
requirements.
8.2 Test strategy and approach
Field testing will be performed manually and functional tests will be written in detail.

8.3 Test objectives
All field entries must work properly. Pages must be activated from the identified link .The
entry screen, messages and responses must not be delayed.
8.4 Features to be tested
Verify that the entries are of the correct format no duplicate entries should be allowed. All
links should take the user to the correct page.
Test Results
All the test cases mentioned above passed successfully. No defects encountered.
Sl
No
Scenarios Expected
Result
Actual Result Status
1 User Registration User
Registration
Successful
User
Registration
Successful
Success
2 User Login Login
Successful
Login
Successful
Success
3 Provider
Registration
Provider
Registration
Successful
Provider
Registration
Successful
Success
4 Provider Login Provider
Successful
Provider
Successful
Success
5 File Upload Successful
upload
Successful
upload
Success
6 File verify Successful
File verify
Successful File
verified
Success
7 View File Status Successful Successful Success
8 Download File download Successfully
File downloaded
Success

Chapter 9
CONCLUSION
It is clear that although the use of cloud computing has rapidly increased, cloud
computing security is still considered the major issue in the cloud computing
environment. Customers do not want to lose their private information as a result of
malicious insiders in the cloud. In addition, the loss of service availability has caused
many problems for a large number of customers recently. Furthermore, data intrusion
leads to many problems for the users of cloud computing. The purpose of this work is to
survey the recent research on single clouds and multi-clouds to address the security risks
and solutions. We have found that much research has been done to ensure the security of
the single cloud and cloud storage whereas multi-clouds have received less attention in
the area of security. We support the migration to multi-clouds due to its ability to
decrease security risks that affect the cloud computing user.

Chapter 10
FUTURE ENHANCEMENTS
When we develop a project, we try our level best to include all the options to make it
work efficiently and to meet all the client requirements. But as the time goes on
technology develops and also the client requirements change. So the application must be
designed in such a way that we should be always be able to make the required changes
whenever necessary
For future work, we aim to provide a framework to supply a secure cloud database that
will guarantee to prevent security risks facing the cloud computing community. This
framework will apply multi-clouds and the secret sharing algorithm to reduce the risk of
data intrusion and the loss of service availability in the cloud and ensure data integrity.

Chapter 11
BIBLIOGRAPHY
11.1 Books Referred
 ‘Software Engineering’,Roger.S.Pressman Mc.Graw Hill
 ‘The Unified Modeling Language User Guide’, Grady Booch, James Rumbaugh,
 Ivar Jacobson.
 ‘Sotware Project Management’.Walker Rayce.
11.2 Websites
 http://java.sun.com
 http://www.sourcefordgde.com
 http://www.networkcomputing.com/
 http://www.roseindia.com/
 http://www.java2s.com/
 http://stackoverflow.com/

CLOUD CPOMPUTING SECURITY

More Related Content

What's hot (20)

Viewers also liked (20)

Similar to CLOUD CPOMPUTING SECURITY (20)

Recently uploaded (20)

CLOUD CPOMPUTING SECURITY