A Secure and Dynamic Multi Keyword Ranked Search over Encrypted Cloud Data

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 640
A Secure and Dynamic Multi Keyword Ranked Search over Encrypted
Cloud Data
R. Prema1, K.S.D. Narendra Gupta2, K. Teja3
1Assistant Professor, Department of CSE, SCSVMV (Deemed to be University), Tamilnadu
2Student, Department of CSE, SCSVMV (Deemed to be university), Tamilnadu.
3Student, Department of CSE, SCSVMV (Deemed to be university), Tamilnadu
--------------------------------------------------------------------***--------------------------------------------------------------------
Abstract: - Due to the growing recognition of cloud
computing, an increasing number of facts proprietors are
stimulated to outsource their facts to cloud servers for
outstanding comfort and decreased fee in facts
management. However, touchy facts need to be encrypted
earlier than outsourcing for privateness requirements,
which obsoletes facts usage like key-word-primarily based
totally file retrieval.In this paper, we present a consistent
multi-key-phrase ranked are seeking scheme over
encrypted cloud facts, which simultaneously allows
dynamic update operations like deletion and insertion of
files.. Specifically, the vector area version and the widely-
used TF_IDF version are mixed withinside the index
production and question generation. We assemble a
unique tree-primarily based totally index shape and
endorse a “Greedy Depth-first Search” set of rules to offer
green multi-key-word ranked seek. The steady KNN set of
rules is applied to encrypt the index and question vectors,
and in the meantime make certain correct relevance
rating calculation among encrypted index and question
vectors. In order to withstand statistical attacks, phantom
phrases are brought to the index vector for blinding seek
results. Due to using our unique tree-primarily based
totally index shape, the proposed scheme can gain sub-
linear seek time and address the deletion and insertion of
files flexibly.
1. INTRODUCTION
Cloud computing is using computing assets (hardware and
software program) which can be introduced as a provider
over a network (commonly the Internet). The call comes
from the not unusualplace use of a cloud-fashioned image
as an abstraction for the complicated infrastructure it
incorporates in gadget diagrams. Cloud computing
entrusts faraway offerings with a user's records, software
program and computation. Cloud computing includes
hardware and software program assets made to be had at
the Internet as controlled third-celebration offerings.
These offerings commonly offer get admission to to
superior software program programs and high-cease
networks of server computers. The purpose of cloud
computing is to use conventional supercomputing, or high-
overall performance computing energy, generally utilized
by army and studies facilities, to carry out tens of trillions
of computations in keeping with second, in purchaser-
orientated programs along with monetary portfolios, to
supply customized information, to offer records garage or
to energy massive, immersive laptop games. The cloud
computing makes use of networks of massive businesses of
servers commonly strolling low-value purchaser PC
generation with specialised connections to unfold records-
processing chores throughout them. This shared IT
infrastructure incorporates massive swimming pools of
structures which can be related together. Often,
virtualization strategies are used to maximise the energy of
cloud
2. Literature Survey
1) Security challenges for the public cloud
Cloud computing represents today's maximum interesting
computing paradigm shift in statistics technology. However,
protection and privateness are perceived as number one
boundaries to its huge adoption. Here, the authors define
numerous important protection demanding situations and
inspire in addition research of protection answers for a
straightforward public cloud environment.
2) A fully homomorphic encryption scheme
We endorse the primary completely homomorphic
encryption scheme, fixing an antique open problem. Such a
scheme permits one to compute arbitrary features over
encrypted records with out the decryption key—i.e., given
encryptions E(m1), ..., E( mt) of m1, ..., m t, you can still
correctly compute a compact ciphertext that encrypts f(m1,
..., mt) for any correctly computable feature f.Fully
homomorphic encryption has severa applications. For
example, it allows encrypted seek engine queries—i.e., a
seek engine can come up with a succinct encrypted solution
to your (boolean) question with out even understanding
what your question was. It additionally allows looking on
encrypted records; you may keep your encrypted records
on a faraway server, and later have the server retrieve
handiest documents that (while decrypted) fulfill a few
boolean constraint, despite the fact that the server can't
decrypt the documents on its very own. More broadly, it
improves the performance of steady
multipartycomputation. In our solution, we start with the
aid of using designing a fairly homomorphic
"boostrappable" encryption scheme that works while the
feature f is the scheme's very own decryption feature. We

then display how, thru recursive self-embedding,
bootstrappable
Implementation
MODULES
MODULES DESCRIPTION
Data Owner Module
This module facilitates the proprietor to sign in the ones
information and additionally consist of login information.
This module facilitates the proprietor to add his record
with encryption the usage of RSA algorithm. This
guarantees the documents to be covered from
unauthorized user. Data proprietor has a set of files F =
that he desires to outsource to the cloud server in
encrypted shape whilst nevertheless preserving the
functionality to look on them for powerful utilization. In
our scheme, the records proprietor first of all builds a
stable searchable tree index I from file series F, after which
generates an encrypted file series C for F. Afterwards, the
records proprietor outsources the encrypted series C and
the stable index I to the cloud server, and securely
distributes the important thing statistics of trapdoor era
and file decryption to the legal records users. Besides, the
records proprietor is accountable for the replace operation
of his files saved withinside the cloud.
Data User Module
This module consists of the person registration login
information. This module is used to assist the consumer to
look the report the use of the a couple of key phrases idea
and get the correct end result listing primarily based
totally at the person question. The person goes to pick out
the specified report and sign up the person information
and get activation code in mail e mail earlier than input the
activation code. After person can down load the Zip report
and extract that report. Data customers are legal ones to
get admission to the files of information owner. With t
question keywords, the legal person can generate a
trapdoor TD consistent with seek manage mechanisms to
fetch okay encrypted files from cloud server. Then, the
information person can decrypt the files with the shared
mystery key.
Cloud Server and Encryption Module:
This module is used to assist the server to encrypt the
record the usage of RSA Algorithm and to transform the
encrypted record to the Zip report with activation code
after which activation code ship to the consumer for
download. Cloud server shops the encrypted record series C
and the encrypted searchable tree index I for facts owner.
Upon receiving the trapdoor TD from the facts consumer,
the cloud server executes seek over the index tree I, and
sooner or later returns the corresponding series of top-
okay ranked encrypted documents. Besides, upon receiving
the replace statistics from the facts owner, the server
wishes to replace the index I and record series C in keeping
with the obtained statistics. The cloud server withinside the
proposed scheme is taken into consideration as “honest-
but-curious”, that's hired through masses of works on
stable cloud facts seek
Rank Search Module
These modules make certain the consumer to go looking
the documents which can be searched regularly the use of
rank search. This module permits the consumer to down
load the document the use of his mystery key to decrypt the
downloaded data. This module permits the Owner to view
the uploaded documents and downloaded documents. The
proposed scheme is designed to offer now no longer
simplest multi-key-word question and correct end result
ranking, however additionally dynamic replace on report
collections. The scheme is designed to save you the cloud
server from mastering extra facts approximately the report
collection, the index tree, and the question.
CONCLUSION:
In this paper, a stable, green and dynamic seek scheme is
proposed, which helps now no longer handiest the correct
multi-key-word ranked seek however additionally the
dynamic deletion and insertion of files. We assemble a
unique key-word balanced binary tree because the index,
and recommend a “Greedy Depth-first Search” set of rules
to reap higher performance than linear seek. In addition,
the parallel seek method may be accomplished to in
addition lessen the time cost. The protection of the scheme
is included towards risk fashions via way of means of the
usage of the stable kNN set of rules. Experimental effects
reveal the performance of our proposed scheme. There are
nevertheless many mission troubles in symmetric SE
schemes. In the proposed scheme, the records proprietor is
liable for producing updating records and sending them to
the cloud server. Thus, the records proprietor desires to
shop the unencrypted index tree and the records which
might be essential to recalculate the IDF values. Such an
energetic records proprietor might not be very appropriate
for the cloud computing model. It may be a significant
however tough destiny paintings to layout a dynamic
searchable encryption scheme whose updating operation
may be finished via way of means of cloud server handiest,
in the meantime booking the cappotential to guide multi-
key-word ranked seek. In addition, because the maximum

of works approximately searchable encryption, our scheme
in particular considers the mission from the cloud server.
Actually, there are many stable demanding situations in a
multi-consumer scheme. Firstly, all of the customers
commonly preserve the equal stable key for trapdoor
technology in a symmetric SE scheme. In this case, the
revocation of the consumer is large mission. If it's miles
had to revoke a consumer on this scheme, we want to
rebuild the index and distribute the brand new stable keys
to all of the legal customers. Secondly, symmetric SE
schemes commonly anticipate that every one the records
customers are trustworthy. It isn't always realistic and a
bent records consumer will lead to many stable troubles.
For example, a bent records consumer can also
additionally seek the files and distribute the decrypted files
to the unauthorized ones. Even more, a bent records
consumer can also additionally distribute his/her stable
keys to the unauthorized ones. In the destiny works, we
are able to try and enhance the SE
REFERENCES
[1] K. Ren, C.Wang, Q.Wang et al., “Security challenges for
the public cloud,”IEEE Internet Computing, vol. 16, no. 1,
pp. 69–73, 2012.
[2] S. Kamara and K. Lauter, “Cryptographic cloud storage,”
in FinancialCryptography and Data Security. Springer,
2010, pp. 136–149.
[3] C. Gentry, “A fully homomorphic encryption scheme,”
Ph.D. dissertation,Stanford University, 2009.
[4] J. Li, Q. Wang, C. Wang, N. Cao, K. Ren, and W. Lou,
“Fuzzy keywordsearch over encrypted data in cloud
computing,” in INFOCOM, 2010 Proceedings IEEE. IEEE,
2010, pp. 1–5.
[5] M. Kuzu, M. S. Islam, and M. Kantarcioglu, “Efficient
similarity search overencrypted data,” in Data
Engineering (ICDE), 2012 IEEE 28th International
Conference on. IEEE, 2012, pp. 1156–1167.
[6] C. Wang, K. Ren, S. Yu, and K. M. R. Urs, “Achieving
usable and privacy-assured similarity search over
outsourced cloud data,” in INFOCOM, 2012 Proceedings
IEEE. IEEE, 2012, pp. 451–459.

A Secure and Dynamic Multi Keyword Ranked Search over Encrypted Cloud Data

More Related Content

Similar to A Secure and Dynamic Multi Keyword Ranked Search over Encrypted Cloud Data (20)

More from IRJET Journal (20)

Recently uploaded (20)

A Secure and Dynamic Multi Keyword Ranked Search over Encrypted Cloud Data