IRJET - Privacy Preserving Keyword Search over Encrypted Data in the Cloud
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The document discusses privacy preserving keyword search over encrypted data in the cloud. It proposes a personalized search (PSU) scheme that uses natural language processing on the client side to pre-compute search results for user queries before uploading encrypted data to the cloud. This allows encrypted keyword searches to be performed efficiently without retrieving all encrypted data from the cloud.
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 558
4. Architecture Diagram
5. Conclusion
Hence we developed an efficient search in keyword through
updates which enable accurate, efficient and secure search
over encrypted data. Privacy is preserved for data in cloud
while storing in blind Storage, and also manage approach
control for each user.
6. Enhancement
Multiple group creation, eachgroupishavingowner
and multiple users.
Multimedia Search.
To encrypt data using Asymmetric algorithm (RSA)
and key re-encryption.
Using NLP technique and word net tool for text
mining process.
Index file and Key generation on cloud.
REFERENCES
[1] Q. Shen, X. Liang, X. Shen, X. Lin, and H. Y. Luo, ‘‘Exploiting
geo-distributedcloudsfora E-healthmonitoringsystem with
minimum ser-vice delay and privacy preservation,’’ IEEE J.
Biomed. Health Informat., vol. 18, no. 2, pp. 430–439, Mar.
2014. VOLUME 6, NO. 1, MARCH 2018 107 IEEE
TRANSACTIONS ON EMERGINGTOPICS IN COMPUTINGLiet
al.: Personalized Search Over Encrypted Data With Efficient
and Secure Updates
[2] H. Liang, L. X. Cai, D. Huang, X. Shen, and D. Peng, ‘‘An
SMDP-based service model for interdomain resource
allocation in mobile cloud networks,’’ IEEE Trans. Veh.
Technol., vol. 61, no. 5, pp. 2222–2232, Jun. 2012.
[3] Y. Cai, F. Yu, and S. Bu, ‘‘Cloud computing meets mobile
wireless com-munications in next generation cellular
networks,’’ IEEE Netw., vol. 28,no. 6, pp. 54–59, Nov./Dec.
2014.
[4] D. Zeng, S. Guo, I. Stojmenovic, and S. Yu, ‘‘Stochastic
modeling and analysis of opportunistic computing in
intermittent mobile cloud,’’ in Proc. 8th IEEE Conf. Ind.
Electron. Appl. (ICIEA), Jun. 2013, pp. 1902–1907.
[5] S. Yu, R. Doss, W. Zhou, and S. Guo, ‘‘A general cloud
firewall framework with dynamic resource allocation,’’ in
Proc. ICC, Jun. 2013, pp. 1941–1945.
[6] F. R. Yu and V. Leung, Advances in Mobile Cloud
Computing Systems. Boca Raton, FL, USA: CRC Press, 2015.
Data
Owner
Upload files Encryption
Blind StorageSearch
Data
user](https://image.slidesharecdn.com/irjet-v7i395-201202091321/85/IRJET-Privacy-Preserving-Keyword-Search-over-Encrypted-Data-in-the-Cloud-3-320.jpg)
IRJET - Privacy Preserving Keyword Search over Encrypted Data in the Cloud
- 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 556 Privacy Preserving Keyword Search over Encrypted Data in the Cloud D. VETRISELVI1, N.M. JAYASHRI2 1Assistant Professor Deptartment of Computer Science and Engineering Jeppiaar SRR Engineering College, Padur Chennai, Tamil Nadu, INDIA 2B.E Department of Computer Science and Engineering Jeppiaar SRR Engineering College, Padur Chennai, Tamil Nadu, INDIA ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Research in cloud computing is receiving tons of attention from both academic and industrial worlds. Clouds can provide several kind of services like applications (e.g., Google Apps, Microsoft online), infrastructures (e.g.,Amazon’s EC2, Eucalyptus, Nimbus), and platforms to assist developers write applications(e.g., Amazon’sS3, WindowsAzure). Muchof the info stored in clouds is very sensitive, for instance , medical records and social networks. Security and privacy are thus vital issues in cloud computing. The user should authenticate itself before beginning any transaction. It must be ensured that the cloud doesn't tamper with the data that is out sourced.In order to search in cloud, some requirements is needed, search over encrypted data should support the following three functions. In one hand, the searchable encryption schemes support keyword search, and supply an equivalent user experience as searching in Google search with different keywords; single-keyword search is way from satisfactory by only returning very limited and inaccurate search results.,The search user would typically prefer cloud servers to sort the returned search leads to a relevance-based order ranked by the relevance of the search request to the documents. Key Words: EfficientRevocation,CiphertextPolicyAttribute Based Encryption, Standard Model 1. INTRODUCTION Mobile cloud computing has been detailed as a key enabling technology to overcome the physical limit of mobile devices towards scalable and flexible mobile services. In the mobile cloud environment searchable encryption, which allows precisely search over encrypted data, is a key technique to maintain both the privacy andavailableofoutsourceddata in cloud. On addressing the hardness , many research efforts resolve to using the searchable symmetric encryption (SSE) and searchable public-key encryption (SPE). By giving thorough security analysis, we demonstrate that PSU are able to do a high security level. Using extensive experiments during a realworld mobile environment,weshowthatPUSis more efficient compared with the prevailing proposals. 1.1 Proposed system In Proposed system, PSU (personalized search)schemewith efficient and secure updates we introduced an efficient and reliable methodology for search over encrypted data.Here the encrypted keyword search pre computes the resulting hunt documents for the input query from users through Natural language processing Techniquewhichiscarryout on gateway (client side) on user fileupload.Hencethematching documents which is pre compute the before arching the encrypted cloud contents are retrieved from cloud. Here we does not pull all the encrypted data’s from cloud for searching, which is time consuming and inadequate. The matching documents memory locations on mobile storage are restore from the serializable objects whichisreservedin the gateway. User can download the produced documents after getting the keys from the group owner. Asymmetric kind of encryption for key re-encryption and is more assured. 2. TECHNOLOGIES USED a) Cloud Computing Cloud computing may be a sort of computing during which dynamically scalable and sometimes virtualities resources are provided as a service over the web .Users needn't have knowledge of, skills in, or control over the technology infrastructure within the "cloud" that supports them. The concept generally conditions combinations of infrastructureas a service (IaaS), platform as a service (PaaS), software as a service (SaaS).Cloud computing customers do notcommonly ownthephysical infrastructure. serving as host to the software platform in question.Instead, they avoid capital expenditure byrentingusagefroma third- party provider.Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the web .Users needn't have knowledge of, expertise in, or control over the technology infrastructure in the"cloud"thatsupportsthem.Theconcept generally incorporates combinations of infrastructure as a service (IaaS) ,platform as a service (PaaS) ,software as a service (SaaS). b)JAVA It is a Platform Independent. Java is an object-oriented programming language matured initially by James Gosling and colleagues at Sun Microsystems. The language, initially called Oak (named after the oak trees outside Gosling's office), was proposed to replaceC++,althoughthefeature set better feature that of Objective C.
- 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 557 Fig -1: WORKING OF JAVA Windows NT System 8 Fig -2: JAVA c) APACHE TOMCAT SERVER Apache Tomcat is a web package developed at the Apache Software Foundation. Tomcat appliance the servlet and the JavaServer Pages (JSP) detail item particularization from Sun Microsystems, providing an environment for Java code to run in cooperation with a web server. It adds tools for configuration and management but can also be construct by editing configuration files that arenormallyXML -formatted. Because Tomcat includes its own HTTP server privately,itis also considered a standalone web server. 3. MODULES The System is categorized into following modules: 1) Group creation 2) Text Mining process 3) Blind storage 4) Query search 1) GROUP CREATION: Data owner should be registered in this environment and create a group. Data users also registers and give request to group owner to add a group user. Data owner accept the request from the user. 2) TEXT MINNING PROCESS: In this modulethedata owner can upload the documents. Data owner can upload the files, the content of file is to be separatedusingNLPtechniqueand that words can get synonyms using Word Net tool. 3) BLIND STORAGE: The uploaded data’s are encrypted in gateway after Natural languageProcessingisdoneandsaved as index file. The owner can give access control and authority to user while uploading the data. 4) QUERY SEARCH: Data user will try to haunt a query in cloud server. The cloud servers plot reliefmapthekeywords and search the related files. Accept request Group Creation owner Accept request User User request Group owner File Upload Natural Language Processing technique Word Net toolCreating Index file Owner Upload files Encryption StorageBlocks Splitting Stored in blocks
- 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 558 4. Architecture Diagram 5. Conclusion Hence we developed an efficient search in keyword through updates which enable accurate, efficient and secure search over encrypted data. Privacy is preserved for data in cloud while storing in blind Storage, and also manage approach control for each user. 6. Enhancement Multiple group creation, eachgroupishavingowner and multiple users. Multimedia Search. To encrypt data using Asymmetric algorithm (RSA) and key re-encryption. Using NLP technique and word net tool for text mining process. Index file and Key generation on cloud. REFERENCES [1] Q. Shen, X. Liang, X. Shen, X. Lin, and H. Y. Luo, ‘‘Exploiting geo-distributedcloudsfora E-healthmonitoringsystem with minimum ser-vice delay and privacy preservation,’’ IEEE J. Biomed. Health Informat., vol. 18, no. 2, pp. 430–439, Mar. 2014. VOLUME 6, NO. 1, MARCH 2018 107 IEEE TRANSACTIONS ON EMERGINGTOPICS IN COMPUTINGLiet al.: Personalized Search Over Encrypted Data With Efficient and Secure Updates [2] H. Liang, L. X. Cai, D. Huang, X. Shen, and D. Peng, ‘‘An SMDP-based service model for interdomain resource allocation in mobile cloud networks,’’ IEEE Trans. Veh. Technol., vol. 61, no. 5, pp. 2222–2232, Jun. 2012. [3] Y. Cai, F. Yu, and S. Bu, ‘‘Cloud computing meets mobile wireless com-munications in next generation cellular networks,’’ IEEE Netw., vol. 28,no. 6, pp. 54–59, Nov./Dec. 2014. [4] D. Zeng, S. Guo, I. Stojmenovic, and S. Yu, ‘‘Stochastic modeling and analysis of opportunistic computing in intermittent mobile cloud,’’ in Proc. 8th IEEE Conf. Ind. Electron. Appl. (ICIEA), Jun. 2013, pp. 1902–1907. [5] S. Yu, R. Doss, W. Zhou, and S. Guo, ‘‘A general cloud firewall framework with dynamic resource allocation,’’ in Proc. ICC, Jun. 2013, pp. 1941–1945. [6] F. R. Yu and V. Leung, Advances in Mobile Cloud Computing Systems. Boca Raton, FL, USA: CRC Press, 2015. Data Owner Upload files Encryption Blind StorageSearch Data user