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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 959
Review Paper On Multi-Keyword Ranked Search in Encrypted Cloud
Storage
Akshay Kasulkar++, Sahil Kamble++, Nikhil Shettiwar++,Tejaswini Dongre++
**Prof. Vijay Masne
++UG Student, Dept. of Computer Science & Engineering, DBACER College, Maharashtra, India
** Assistant Professer, Dept. of Computer Science & Engineering, DBACER College, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract— The approach of conveyed figuring, data
proprietors are awakened to outsource their brain boggling
data organization structures from neighbourhood goals to
business open cloud for remarkable versatility and money
related save stores. In any case, for guaranteeing data
assurance, tricky data must be encoded before outsourcing,
which obsoletes customary data use in perspectiveofplaintext
catchphrase look. In this way, enabling an encoded clouddata
look for organization is of focal criticalness. Considering the
broad number of data customers and reports in cloud, it is
basic for the chase organization to allow multi-watchword
question and give result similarity situating to meet the
convincing data recuperation require.
Keywords— Cloud computing, Encryption, Inner product
similarity, Single Keyword Search, Multi-keyword search,
ranking.
1.INTRODUCTION
Presently a-days a large number of information is basic
regular on the web. Every day new information is
outsourced because of development in addition to
prerequisites of clients, then basically semi-put stock in
servers. Cloud registering is a Web-based model, where
cloud customers can supply their information into the cloud
[1]. By stacking information into the cloud, the information
proprietors remain unbound after the limit of capacity.
Subsequently, to protect touchy information honesty is a
fundamental errand. To shield information protectioninthe
cloud, the information proprietor must be outsourced in the
encoded framework to people in general cloud and the
information operation is established on plaintext keyword
look. We select the proficient measure of "arrange
coordinating". Organize coordinating is utilized to gaugethe
parallel sum. Facilitate coordinating catchesthecentrality of
information records to the inquiry question keywords.
Today's Google network seek gadgets, information clients
offer arrangement of keywords rather than remarkable
keyword look significance to recover the most extreme
critical information. Organize coordinating is a synchronize
matching of question keywords which are significance to
that report to the inquiry. Because of inherence well being
and security, it remains the intriguing employment for how
to relate the scrambled cloud seeks. Among various multi-
keyword positioned semantics, we pick facilitate
coordinating. Our commitments are condensed as takes
after, 1) For the first occasion when, we investigatetheissue
of multi keyword positioned look over scrambled cloud
information, and build up an arrangement of strict
protection prerequisites for such a safe cloud information
use framework. 2) We propose two MRSE plans in view of
the likeness measure of "arrange coordinating" while
meeting diverse protection prerequisites in two distinctive
risk models. 3) Thorough examination exploring security
and productivity assurances of the proposed plans is given;
an analysis on this present reality dataset additionally
demonstrate the proposedplotsinfactpresentlowoverhead
on calculation and correspondence.
2. Problem Statement
Quite number of on-request information clients and
enormous measure of information archives in thecloud,this
trouble is testing. It is fundamental for the hunt office to
allow multi keyword look question and make accessible
outcome correlation positioning to see the viable
information recovery prerequisite. To build up the query
output precision and in addition to enhance the client
looking background, it is additionally fundamental for such
positioning framework tobolstermultiplekeywordshunt, as
single keyword inquiry frequently yields extraordinary
coarse outcomes. The searchable encryption technique
support to give encoded information encourages a client to
immovably look over single keywordandrecoverarchivesof
concern.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 960
3. IMPLEMENTATION
Data User Module
Information clients are clients on this framework, will's
identity ready to download documents from the cloud that
are transferred by the information proprietors. Since the
documents put away on the cloud server could be in
enormous numbers, there is a pursuit office gave to the
client. The client ought to have the capacity to do a multi-
keyword look on the cloud server. Once, the outcome shows
up for the particular pursuit, these clients ought to have the
capacity to send a demand to the individual information
proprietors of the document through the framework
(likewise called trap-entryway ask for) for downloading
these records. The information clients will likewise be given
a demand endorsement screen, where it will tell if the
information proprietor has acknowledged or dismisses the
demand. In the event that the demand hasbeenaffirmed,the
clients ought to have the capacity to download the decoded
record.
Information Owner Module:
In this module, the information proprietors ought to have
the capacity to transfer the records. The documents are
encoded before the records are transferred to thecloud.The
information proprietors are given an alternativeto enterthe
keywords for the document that are transferred to the
server. These keywords are utilized for the ordering reason
which helps the pursuit return values rapidly.Theserecords
when once accessible on the cloud, the information clients
ought to be capable pursuit utilizing the keywords. The
information proprietors will likewise be furnished with a
demand endorsement screen so they can support or reject
the demand that is gotten by the information clients.
Document Upload and Encryption Module:
In this module, the information proprietors ought to have
the capacity to transfer the documents. The records are
scrambled before the documents are transferred to the
cloud. The information proprietors are given an alternative
to enter the keywords for the record that are transferred to
the server. These keywords are utilized for the ordering
reason which helps the hunt return values rapidly. These
records when once accessible on the cloud, the information
clients ought to have the capacity to huntutilizingkeywords.
The information proprietors will likewise be furnished with
a demand endorsement screen so they can support or reject
the demands that are gotten by the information clients. The
document before transfer should be encoded with a key so
that the information clientscan'tsimplydownloadit without
this key. This key will be asked for by the informationclients
through the trap-entryway. The encryption of these records
utilizes RSA calculation so that unapproved clients won't
have the capacity to download these documents.
Document Download and Decryption Module:
Information clients are clients on this framework, will's
identity ready to download documents from the cloud that
are transferred by the information proprietors. Since the
records put away on the cloud server could be in immense
numbers, there is a pursuit office gave to the client. The
client ought to have the capacity to do a multi-keyword seek
on the cloud server. Once, the outcome shows up for the
particular pursuit, the clients ought to have the capacity to
send a demand to the individual information proprietors of
the document through the framework (additionally called
trap-entryway ask for) for downloading these records. The
information clients will likewise be given a demand
endorsement screen, where it will tell if the information
proprietor has acknowledged or dismisses the demand. On
the off chance that the demand has been endorsed, the
clients ought to have the capacity to download the
unscrambled document. The recordbeforedownloadshould
be unscrambled with a key. This key will be asked for by the
information clients through the trap-entryway ask.Oncethe
key is given amid the download, the information clients will
have the capacity to download the record and utilize them.
Rank-Search Module:
This module permits the information clients to seek the
documents with multi-keyword rank looking. This model
uses the every now and again utilized rank hunting
calculation down present the yield for multi-keywords.
"Facilitate Matching" guideline will be embraced for the
multi-keyword seeking. This module likewise deals with
making a file for speedier hunt.
4.WORKFLOW
The following flow diagram describes the system which
contains three distinct modules such as data owner, user of
data and cloud. Owner of data contains thehugecollectionof
documents, which have to store on cloud in the encoded
format. Data users are able to search on thisencodeddata.In
this system, data owner first build the secure searchable
index tree and then generate encrypteddocument.Thenthis
index tree and encrypted documents are store on server.
Data owner also distributes the key to authorized user,
require for document decryption. Upon receiving query
request for particular file from user, cloud server searching
the tree index and proceeds the set of top k ranked encoded
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 961
results. Finally data user decrypt the received documents
using secret key received from data owner.
5.CONCLUSION
In this paper, firstly we portray and resolve thetroublesome
of multi-keyword positioned look over scrambled cloud
information, and make an assortment of protection
necessities. Between various multi-keyword semantics, we
select the compelling likeness measure of "facilitate
coordinating", i.e., as different matches as likely, to
adequately catch the importance of outsourced archives to
the question correspondence .In our future work, we will
seek supporting other multi keyword semantics over
encoded information and checking the honesty of the rank
request in the item keywords. For traditionthetestofsteady
multi-keyword semantic without security breaks, we
propose an essential thought of MRSE. At that point we give
two better MRSE diagrams to acknowledge numerous
stringent security necessities in two divergent risk models.
Nitty gritty examination contemplating security and
effectiveness assurances of proposed plans is given, and
trials on this presentrealityinformationsetdemonstrateour
future frameworkspresentlowoverheadonbothcalculation
and correspondence.
6.REFERENCES
[1] Qin Liuy, Guojun Wangyz, and Jie Wuz,”Secure and
privacy preserving keyword searching for cloud
storage services”, ELSEVIER Journal of Network and
computer Applications, March 2011
[2] Ming Li et al.,” Authorized PrivateKeywordSearchover
Encrypted Data in Cloud Computing,IEEE proc.
International conference on distributed computing
systems, June 2011,pages 383-392
[3] Cong Wang et al.,”Enabling Secure andEfficientRanked
Keyword Search over Outsourced Cloud Data”, IEEE
Transactions on parallel and distributed systems, vol.
23, no. 8, August 2012
[4] Kui Ren et al., “Towards Secure and Effective Data
utilization in Public Cloud”, IEEE Transactions on
Network, volume 26, Issue 6, November / December
2012
[5] Ming Li et al.,”Toward Privacy-Assured and Searchable
Cloud Data Storage Services”, IEEE Transactions on
Network, volume 27, Issue 4, July/August 2013
[6] Wei Zhou et al., “K-Gram Based Fuzzy Keyword Search
over Encrypted Cloud Computing “Journal of Software
Engineering and Applications, Scientific Research ,
Issue 6, Volume 29-32,January2013
[7] J. Baek et al., “Public key encryption with keyword
search revisited", in ICCSA 2008, vol. 5072 of Lecture
Notes in Computer Science, pp. 1249 - 1259, Perugia,
Italy, 2008. Springer Berlin/Heidelberg.
[8] H. S. Rhee et al., “Trapdoor security in a searchable
public-key encryption scheme with a designated
tester," The Journal of Systems and Software, vol. 83,
no. 5, pp. 763-771, 2010.
[9] Peng Xu et al., Public-Key Encryption with Fuzzy
Keyword Search: A Provably Secure Scheme under
Keyword Guessing Attack”,IEEE Transactions on
computers, vol. 62, no. 11, November 2013
[10] Ning Cao et al.,” Privacy-Preserving Multi- Keyword
Ranked Search over Encrypted Cloud Data”, IEEE
Transactions on parallel and distributed systems, vol.
25, no. 1, jan 2014
[11] D. X. D. Song, D. Wagner, and A. Perrig, ”Practical
techniques for searches on encrypteddata,”inProc.S&
P, BERKELEY, CA, 2000, pp. 44.
[12] C. Wang, N. Cao, K. Ren, and W. J. Lou, Enabling Secure
and Efficient Ranked Keyword Search over Outsourced
Cloud Data, IEEE Trans. Parallel Distrib. Syst., vol. 23,
no. 8, pp. 1467-1479, Aug. 2012.
[13] W. Sun, B. Wang, N. Cao, M. Li, W. Lou, Y. T. Hou, and H.
Li, ”Privacy-preserving multi-keyword text search in
the cloud supporting similarity-basedranking,”inProc.
ASIACCS, Hangzhou, China, 2013, pp. 71-82.
[14] R. X. Li, Z. Y. Xu, W. S. Kang, K. C. Yow, and C. Z. Xu,
Efficient multi-keyword ranked query over encrypted
data in cloud computing, Futur. Gener. Comp. Syst., vol.
30, pp. 179-190, Jan. 2014.

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  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 959 Review Paper On Multi-Keyword Ranked Search in Encrypted Cloud Storage Akshay Kasulkar++, Sahil Kamble++, Nikhil Shettiwar++,Tejaswini Dongre++ **Prof. Vijay Masne ++UG Student, Dept. of Computer Science & Engineering, DBACER College, Maharashtra, India ** Assistant Professer, Dept. of Computer Science & Engineering, DBACER College, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract— The approach of conveyed figuring, data proprietors are awakened to outsource their brain boggling data organization structures from neighbourhood goals to business open cloud for remarkable versatility and money related save stores. In any case, for guaranteeing data assurance, tricky data must be encoded before outsourcing, which obsoletes customary data use in perspectiveofplaintext catchphrase look. In this way, enabling an encoded clouddata look for organization is of focal criticalness. Considering the broad number of data customers and reports in cloud, it is basic for the chase organization to allow multi-watchword question and give result similarity situating to meet the convincing data recuperation require. Keywords— Cloud computing, Encryption, Inner product similarity, Single Keyword Search, Multi-keyword search, ranking. 1.INTRODUCTION Presently a-days a large number of information is basic regular on the web. Every day new information is outsourced because of development in addition to prerequisites of clients, then basically semi-put stock in servers. Cloud registering is a Web-based model, where cloud customers can supply their information into the cloud [1]. By stacking information into the cloud, the information proprietors remain unbound after the limit of capacity. Subsequently, to protect touchy information honesty is a fundamental errand. To shield information protectioninthe cloud, the information proprietor must be outsourced in the encoded framework to people in general cloud and the information operation is established on plaintext keyword look. We select the proficient measure of "arrange coordinating". Organize coordinating is utilized to gaugethe parallel sum. Facilitate coordinating catchesthecentrality of information records to the inquiry question keywords. Today's Google network seek gadgets, information clients offer arrangement of keywords rather than remarkable keyword look significance to recover the most extreme critical information. Organize coordinating is a synchronize matching of question keywords which are significance to that report to the inquiry. Because of inherence well being and security, it remains the intriguing employment for how to relate the scrambled cloud seeks. Among various multi- keyword positioned semantics, we pick facilitate coordinating. Our commitments are condensed as takes after, 1) For the first occasion when, we investigatetheissue of multi keyword positioned look over scrambled cloud information, and build up an arrangement of strict protection prerequisites for such a safe cloud information use framework. 2) We propose two MRSE plans in view of the likeness measure of "arrange coordinating" while meeting diverse protection prerequisites in two distinctive risk models. 3) Thorough examination exploring security and productivity assurances of the proposed plans is given; an analysis on this present reality dataset additionally demonstrate the proposedplotsinfactpresentlowoverhead on calculation and correspondence. 2. Problem Statement Quite number of on-request information clients and enormous measure of information archives in thecloud,this trouble is testing. It is fundamental for the hunt office to allow multi keyword look question and make accessible outcome correlation positioning to see the viable information recovery prerequisite. To build up the query output precision and in addition to enhance the client looking background, it is additionally fundamental for such positioning framework tobolstermultiplekeywordshunt, as single keyword inquiry frequently yields extraordinary coarse outcomes. The searchable encryption technique support to give encoded information encourages a client to immovably look over single keywordandrecoverarchivesof concern.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 960 3. IMPLEMENTATION Data User Module Information clients are clients on this framework, will's identity ready to download documents from the cloud that are transferred by the information proprietors. Since the documents put away on the cloud server could be in enormous numbers, there is a pursuit office gave to the client. The client ought to have the capacity to do a multi- keyword look on the cloud server. Once, the outcome shows up for the particular pursuit, these clients ought to have the capacity to send a demand to the individual information proprietors of the document through the framework (likewise called trap-entryway ask for) for downloading these records. The information clients will likewise be given a demand endorsement screen, where it will tell if the information proprietor has acknowledged or dismisses the demand. In the event that the demand hasbeenaffirmed,the clients ought to have the capacity to download the decoded record. Information Owner Module: In this module, the information proprietors ought to have the capacity to transfer the records. The documents are encoded before the records are transferred to thecloud.The information proprietors are given an alternativeto enterthe keywords for the document that are transferred to the server. These keywords are utilized for the ordering reason which helps the pursuit return values rapidly.Theserecords when once accessible on the cloud, the information clients ought to be capable pursuit utilizing the keywords. The information proprietors will likewise be furnished with a demand endorsement screen so they can support or reject the demand that is gotten by the information clients. Document Upload and Encryption Module: In this module, the information proprietors ought to have the capacity to transfer the documents. The records are scrambled before the documents are transferred to the cloud. The information proprietors are given an alternative to enter the keywords for the record that are transferred to the server. These keywords are utilized for the ordering reason which helps the hunt return values rapidly. These records when once accessible on the cloud, the information clients ought to have the capacity to huntutilizingkeywords. The information proprietors will likewise be furnished with a demand endorsement screen so they can support or reject the demands that are gotten by the information clients. The document before transfer should be encoded with a key so that the information clientscan'tsimplydownloadit without this key. This key will be asked for by the informationclients through the trap-entryway. The encryption of these records utilizes RSA calculation so that unapproved clients won't have the capacity to download these documents. Document Download and Decryption Module: Information clients are clients on this framework, will's identity ready to download documents from the cloud that are transferred by the information proprietors. Since the records put away on the cloud server could be in immense numbers, there is a pursuit office gave to the client. The client ought to have the capacity to do a multi-keyword seek on the cloud server. Once, the outcome shows up for the particular pursuit, the clients ought to have the capacity to send a demand to the individual information proprietors of the document through the framework (additionally called trap-entryway ask for) for downloading these records. The information clients will likewise be given a demand endorsement screen, where it will tell if the information proprietor has acknowledged or dismisses the demand. On the off chance that the demand has been endorsed, the clients ought to have the capacity to download the unscrambled document. The recordbeforedownloadshould be unscrambled with a key. This key will be asked for by the information clients through the trap-entryway ask.Oncethe key is given amid the download, the information clients will have the capacity to download the record and utilize them. Rank-Search Module: This module permits the information clients to seek the documents with multi-keyword rank looking. This model uses the every now and again utilized rank hunting calculation down present the yield for multi-keywords. "Facilitate Matching" guideline will be embraced for the multi-keyword seeking. This module likewise deals with making a file for speedier hunt. 4.WORKFLOW The following flow diagram describes the system which contains three distinct modules such as data owner, user of data and cloud. Owner of data contains thehugecollectionof documents, which have to store on cloud in the encoded format. Data users are able to search on thisencodeddata.In this system, data owner first build the secure searchable index tree and then generate encrypteddocument.Thenthis index tree and encrypted documents are store on server. Data owner also distributes the key to authorized user, require for document decryption. Upon receiving query request for particular file from user, cloud server searching the tree index and proceeds the set of top k ranked encoded
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 961 results. Finally data user decrypt the received documents using secret key received from data owner. 5.CONCLUSION In this paper, firstly we portray and resolve thetroublesome of multi-keyword positioned look over scrambled cloud information, and make an assortment of protection necessities. Between various multi-keyword semantics, we select the compelling likeness measure of "facilitate coordinating", i.e., as different matches as likely, to adequately catch the importance of outsourced archives to the question correspondence .In our future work, we will seek supporting other multi keyword semantics over encoded information and checking the honesty of the rank request in the item keywords. For traditionthetestofsteady multi-keyword semantic without security breaks, we propose an essential thought of MRSE. At that point we give two better MRSE diagrams to acknowledge numerous stringent security necessities in two divergent risk models. Nitty gritty examination contemplating security and effectiveness assurances of proposed plans is given, and trials on this presentrealityinformationsetdemonstrateour future frameworkspresentlowoverheadonbothcalculation and correspondence. 6.REFERENCES [1] Qin Liuy, Guojun Wangyz, and Jie Wuz,”Secure and privacy preserving keyword searching for cloud storage services”, ELSEVIER Journal of Network and computer Applications, March 2011 [2] Ming Li et al.,” Authorized PrivateKeywordSearchover Encrypted Data in Cloud Computing,IEEE proc. International conference on distributed computing systems, June 2011,pages 383-392 [3] Cong Wang et al.,”Enabling Secure andEfficientRanked Keyword Search over Outsourced Cloud Data”, IEEE Transactions on parallel and distributed systems, vol. 23, no. 8, August 2012 [4] Kui Ren et al., “Towards Secure and Effective Data utilization in Public Cloud”, IEEE Transactions on Network, volume 26, Issue 6, November / December 2012 [5] Ming Li et al.,”Toward Privacy-Assured and Searchable Cloud Data Storage Services”, IEEE Transactions on Network, volume 27, Issue 4, July/August 2013 [6] Wei Zhou et al., “K-Gram Based Fuzzy Keyword Search over Encrypted Cloud Computing “Journal of Software Engineering and Applications, Scientific Research , Issue 6, Volume 29-32,January2013 [7] J. Baek et al., “Public key encryption with keyword search revisited", in ICCSA 2008, vol. 5072 of Lecture Notes in Computer Science, pp. 1249 - 1259, Perugia, Italy, 2008. Springer Berlin/Heidelberg. [8] H. S. Rhee et al., “Trapdoor security in a searchable public-key encryption scheme with a designated tester," The Journal of Systems and Software, vol. 83, no. 5, pp. 763-771, 2010. [9] Peng Xu et al., Public-Key Encryption with Fuzzy Keyword Search: A Provably Secure Scheme under Keyword Guessing Attack”,IEEE Transactions on computers, vol. 62, no. 11, November 2013 [10] Ning Cao et al.,” Privacy-Preserving Multi- Keyword Ranked Search over Encrypted Cloud Data”, IEEE Transactions on parallel and distributed systems, vol. 25, no. 1, jan 2014 [11] D. X. D. Song, D. Wagner, and A. Perrig, ”Practical techniques for searches on encrypteddata,”inProc.S& P, BERKELEY, CA, 2000, pp. 44. [12] C. Wang, N. Cao, K. Ren, and W. J. Lou, Enabling Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data, IEEE Trans. Parallel Distrib. Syst., vol. 23, no. 8, pp. 1467-1479, Aug. 2012. [13] W. Sun, B. Wang, N. Cao, M. Li, W. Lou, Y. T. Hou, and H. Li, ”Privacy-preserving multi-keyword text search in the cloud supporting similarity-basedranking,”inProc. ASIACCS, Hangzhou, China, 2013, pp. 71-82. [14] R. X. Li, Z. Y. Xu, W. S. Kang, K. C. Yow, and C. Z. Xu, Efficient multi-keyword ranked query over encrypted data in cloud computing, Futur. Gener. Comp. Syst., vol. 30, pp. 179-190, Jan. 2014.