Enhanced security framework to ensure data security

IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
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Volume: 02 Issue: 10 | Oct-2013, Available @ http://www.ijret.org 225
ENHANCED SECURITY FRAMEWORK TO ENSURE DATA SECURITY
IN CLOUD USING SECURITY BLANKET ALGORITHM
Sanjeev Kumar Mandal1
, Farzeen Basith2
1
Post Graduate student, 2
Assistant Professor, Department of MCA, Acharya Institute of Technology, Karnataka, India,
sanjeev.mandal93@gmail.com, farzeen107@gmail.com
Abstract
Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and
confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized
entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend
using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames
and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person
using Security blanket algorithm.
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1. INTRODUCTION
Cloud computing is a paradigm of computing, a new way of
thinking about IT industry but not any specific technology. It
is a paradigm shift whereby details are abstracted from the
users who no longer need knowledge of, expertise in, or
control over the technology infrastructure "in the cloud" that
supports them.
The main concept of cloud computing services is that these
services are carried out on behalf of users with hardware that
the customers do not own or operate. The user inputs data to
the cloud, the data are processed by the cloud service provider
according to the instructions of the user, and the output is
delivered back to the user.
1.1 Service Models
The cloud computing service models are Software as a Service
(SaaS), Platform as a Service (PaaS) and Infrastructure as a
Service (IaaS). In Software as a Service model, a pre-made
application, along with any required software, operating
system, hardware, and network are provided. In PaaS, an
operating system, hardware, and network are provided, and the
customer installs or develops its own software and
applications. The IaaS model provides just the hardware and
network; the customer installs or develops its own operating
systems, software and applications.
1.2 Cloud Services
Cloud services are typically made available via a private
cloud, community cloud, public cloud or hybrid cloud.
Generally speaking, services provided by a public cloud are
offered over the Internet and are owned and operated by a
cloud provider. Some examples include services aimed at the
general public, such as online photo storage services, e-mail
services, or social networking sites. However, services for
enterprises can also be offered in a public cloud.In a private
cloud, the cloud infrastructure is operated solely for a specific
organization, and is managed by the organization or a third
party. In a community cloud, the service is shared by several
organizations and made available only to those groups. The
infrastructure may be owned and operated by the
organizations or by a cloud service provider. A hybrid cloud is
a combination of different methods of resource pooling (for
example, combining public and community clouds).
1.3 Security
Security refers to confidentiality, integrity and availability,
which pose major issues for cloud vendors. Confidentiality
refers to who stores the encryption keys - data from company
A, stored in an encrypted format at company B must be kept
secure from employees of B; thus, the client company should
own the encryption keys. From the perspective of data
security, which has always been an important aspect of quality
of service, Cloud Computing inevitably poses new challenging
security threats for number of reasons. Traditional
cryptographic primitives for the purpose of data security
protection cannot be directly adopted due to the users’ loss
control of data under Cloud Computing. Therefore,

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verification of correct data storage in the cloud must be
conducted without explicit knowledge of the whole data.
Recently, the importance of ensuring the remote data integrity
has been highlighted by the following research works [1]–[2].
These techniques, while can be useful to ensure the storage
correctness without having users possessing data, cannot
address all the security threats in cloud data storage, since they
are all focusing on single server scenario and most of them do
not consider dynamic data operations.
2. LITERATURE REVIEW
While coming with this paper we had visited many small scale
industries and companies those are recently using cloud
services for outsourcing there confidential data over the cloud
and are suffering with some problems while exchanging keys
and accessing the services. They are also worried about the
recent security techniques, which are currently available. For
this paper we have refer the technical paper on Secure Data
Access over Cloud Computing and Secure Data Access in
Cloud Computing.
Data outsourcing in Cloud Computing is fast becoming
economically viable for large enterprises. In fact,this data
outsourcing is ultimately retrieving user’s control over its own
data and does not provide any assurance on data integrity and
availability. On behalf of cloud user, a third party auditor
(TPA) who has resources and experience that a user does not
have can be emplaced to audit the integrity of large data
storage. But user data privacy is still exposed to a TPA, which
is required to be secured against unauthorized leakage.
Wang and Sherman et al. [3] have proposed a public auditing
system of data storage security by developing a privacy
preserving auditing protocol. By which auditor can audit
without having knowledge of user’s data contents. Wang and
Sherman also proposed a batch auditing protocol where
multiple auditing tasks from different users can be performed
simultaneously by a TPA. A public auditing scheme consisting
four algorithms (KeyGen, SigGen, GenProof, VerifyProof)
has been used. KeyGen is run by the user to set up the scheme.
SigGen is used to generate verification metadata. GenProof is
executed by Cloud Server to provide a proof of data storage
correctness. VerifyProof is run by TPA to audit the proof from
Cloud Server.
“Enabling Public Vefiraibility and Data Dynamics for Storage
Security in Cloud Computing (2009)” describes that “Cloud
Computing has been envisioned as the next generation
architecture of IT Enterprise. It moves the application software
and databases to the centralized large data centers, where the
management of the data and services may not be fully
trustworthy. This unique paradigm brings about many new
security challenges, which have not been well understood.
This work studies the problem of ensuring the integrity of data
storage in Cloud Computing. We first identify the difficulties
and potential security problems of direct extensions with fully
dynamic data updates from prior works and then show how to
construct an elegant verification scheme for seamless
integration of these two salient features in our protocol design.
Achieving Secure, Scalable, and Fine-grained Data Access
Control in Cloud Computing
This paper proposed some services for data security and
access control when users outsource sensitive data for sharing
on cloud servers. This paper addresses this challenging open
issue by, on one hand, defining and enforcing access policies
based on data attributes, and on the other hand allowing the
data owner to delegate most of the computation tasks involved
in fine grained data access control to untrusted cloud servers
without disclosing the underlying data contents. This scheme
enables the data owner to delegate tasks of data file re-
encryption and user secret key update to cloud servers without
disclosing data contents or user access privilege information.
This goal can be achieved by exploiting and uniquely
combining techniques of attribute-based encryption (ABE),
proxy re-encryption, and lazy re-encryption [4].
3. PROBLEM STATEMENT
Authentication is the process of determining whether someone
or something is, in fact, who or what it is declared to be. In
private and public computer networks (including the Internet),
authentication is commonly done through the use of logon
passwords. Knowledge of the password is assumed to
guarantee that the user is authentic. Each user registers
initially (or is registered by someone else), using an assigned
or self-declared password. On each subsequent use, the user
must know and use the previously declared password. The
weakness in this system for transactions that are significant
(such as the exchange of money) is that passwords can often
be stolen, accidentally revealed, or forgotten.
3.1 User:
User, who have data to be stored in the cloud and rely on the
cloud for data computation, consists of both individual
consumer and organization and want access to cloud server for
doing job with effect of Security blanket algorithm
3.2 Cloud service provider (CSP):
Cloud service providers offer cloud solutions, like Google
Apps, that are delivered electronically over the internet.
Unlike a managed service provider, cloud service providers do
not sell or install hardware – everything they offer is stored
online and accessible securely from anywhere. There are many
advantages to working with a cloud service provider like
Cloud Sherpas when switching from your old email and
collaboration software.

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3.3 Authentication Service AS:
An authentication service that knows the password of all users
and stores these in a centralized database in addition, the AS
shares a unique secret key with each server.
Figure 1: Authentication using Security blanket algorithm
4. PROPOSED METHOD
Security blanket algorithm is a new password manager that
can best be described as a mix of Roboform and LastPass.
With Security blanket algorithm users have the ability to
securely store their logins. These logins can then be kept
locally on your computer only or synced with your Security
blanket algorithm account and accessible on any computer or
device that you install Security blanket algorithm on.
Currently Windows, Mac OS X, Android, and iOS are
supported by Security blanket algorithm so with the sync
feature you could potentially have your logins on every
computer or device you use.
Figure 2: Security blanket algorithm Server-AWS
All communications between the Security blanket algorithm
application and the Security blanket algorithm servers are
secured with HTTPS. HTTPS connections on the client side
are performed using OpenSSL.
The HTTPS communications between Security blanket
algorithm application and Security blanket algorithm’s servers
are using SSLv3, TLS_RSA_WITH_AES_256_CBC_SHA
connections.
SSL protocol main steps are as follows:
• The client and the server negotiate to choose the best
cipher and hash algorithm available on both sides.
• The server sends his digital certificate.
• The client verifies the certificate by contacting a
Certificate Authority.
• The client encrypts a random number with the
server’s public key, and sends it to the server.
• The server decrypts this number, and both sides use
this number to generate a symmetric key, used to
encrypt and decrypt data.
Finally, communication between the Security blanket
algorithm Browser Plug-in and the Security blanket algorithm
Application is secured using with AES 256 with the OpenSSL
library:
• A 32 bytes salt is generated using the OpenSSL
RAND_bytes function (ciphering) or reading it from
the inter process message (deciphering) The Security
blanket algorithm Private Key is used, with the salt,
to generate the AES 256 bit key that will be used for
(de)ciphering. This generation is performed using the
OpenSSL EVP_BytesToKey, using SHA1, with 5
iterations.
• The 32 bytes initialization vector is generated with
the OpenSSL EVP_BytesToKey function, using
SHA1 .
• Then, the data is (de)ciphered using CBC mode.
• When ciphering, the salt is written on inter process
message.
5. IMPLEMENTATION
• Allows users to store unlimited logins (usernames
and passwords).
• Logins can be sorted into specific categories, e.g.
email or social media.
• Has excellent browser integration — supports
Firefox, Chrome, and Internet Explorer.
• In addition to logins, users can store credit card
numbers, bank accounts, contacts, social security
numbers, tax ids, and more.
• UPDATE: It looks like notes are only available in
Premium (paid version) now.

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• Has an optional built-in receipt tracker to help you
keep track of your purchases, online or offline.
• Has a built-in tool that tells you how strong your
passwords are.
• Can generate random passwords.
• Secures data with AES 256 encryption.
Has the ability to sync data across Security blanket algorithm
on all computers and devices — Windows, Mac OS X,
Android, and iOS
• Sync is optional — users can opt to keep data stored
locally only.
• Has the ability to import data from LastPass,
Roboform, KeePass, Password Wallet, 1Password,
Chrome, Firefox, and Internet Explorer.
Has a web version for access to your logins when at a
computer which doesn’t have Security blanket algorithm
installed.
6. RESULT AND EVOLUTION
The initial registration for a user follows the flow described
Figure 3: Authentication flow during registration.
As can be seen in Figure 3, the User Master Password is never
user to perform Server Authentication, and the only keys
stored on our servers are the User Device keys.
Figure 4: Two-Factor authentication
When adding a second device, the important point is that
Security blanket algorithm needs to make sure the user
adding the additional device is indeed the legitimate owner of
the account. This is to gain additional protection in the event
the user Master Password has been compromised and an
attacker who does not have access to his already enabled
device is trying to access the account from another device.
As shown on Figure 4, when a user is attempting to connect to
a Security blanket algorithm account on a device that has not
yet been authorized for this account, Security blanket
algorithm generates a One-Time Password (a Token) that is
being sent to the user either to the email address used to create
the Security blanket algorithm account initially, or by text
message to the user’s mobile phone if the user has chosen to
provide his mobile phone number.
In order to enable the new device, the user has to enter both
his User Master Password and the Token. Only after this Two-
Factor authentication has been performed will Security blanket
algorithm servers start synchronizing the user data on the new
device. All communication is handled with HTTPS and the
user data only travels in AES-256 encrypted form. Please note
again that the user Master Password never transits on the
Internet.

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Even though what goes on in the background during the initial
registration steps is complex (See Figure 3) and highly secure,
the perception by the user could not be simpler. All he has to
do is to pick a (strong) User Master Password. All the other
keys are generated by the application without user
intervention.
When adding an additional device, the process is equally
simple, while remaining highly secure through the use of
Two-Factor authentication described in Figure 4.
CONCLUSIONS
Sensitive data storage on cloud platform is challenging while
adopting cloud services for data storage. Cryptographic keys
are sensitive data and required on cloud platform in different
cases but cannot store directly on cloud. This paper discuses
Security blanket algorithm key management on cloud based
environment. Security blanket algorithm is a new service that
does that, audits those passwords for strength, saves your form
information for quick entry on new web sites, and even keeps
track of the purchases you make with that information so you
can see it all in one view—one that's only available to you, not
even Security blanket algorithm employees.
REFERENCES
[1]. A. Juels and J. Burton S. Kaliski, “PORs: Proofs of
Retrievability for Large Files,” Proc. of CCS ’07, pp. 584–
597, 2007
[2]. G. Ateniese, R. D. Pietro, L. V. Mancini, and G. Tsudik,
“Scalable and Efficient Provable Data Possession,” Proc. of
SecureComm ’08, pp. 1–10, 2008.
[3]. Wang, Sherman, Kui, Lou, “Privacy-Preserving Public
Auditing for Secure Cloud Storage", INFOCOM, 2010
Proceedings IEEE, 14-19March, 2010.
[4]. S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving secure,
scalable, and fine-grained data access control in cloud
computing,” in IEEE INFOCOM'10, 2010.
[5] L. Chen, Gongde Guo “An Efficient Remote Data
Possession Checking in Cloud Storage”, Fujian Normal
University, vol. 5, no. 4, April 2011.
[6] Sheng Zhong and Zhuo Hao. “A Privacy-Preserving
Remote Data Integrity Checking Protocol with Data Dynamics
and Public Verifiability,” IEEE Internet Computing, 2010.
[7] Cong Wang, Kui Ren, Qian Wang and Wenjing Lou
"Towards Secure and Dependable Storage Services in Cloud
Computing," IEEE transactions on Services Computing, vol 5,
no. 3, pp 220-232, 2011.
BIOGRAPHIES
Post Graduate student Department of MCA,
Acharya Institute of Technology, Karnataka,
India,
Assistant Professor, Department of MCA,
Acharya Institute of Technology, Karnataka,
India. Teaching Experience: 9 year

Enhanced security framework to ensure data security

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