Open Access Open Access  Restricted Access Subscription Access

Design and Analysis of New Multi Keyword Ranked Search Schema Called SSEDU in Cloud Computing


Affiliations
1 Department of Computer Science, Poornima University, Jaipur, India
2 Department of Computer Application, Govt. Engineering College, Bikaner, India
 

In these days, required information can be searched through the cloud. Henceforth, this paper deals with the cloud computing, where information seeking and privacy preservation are the main area of emphasis. Therefore, keeping multi-keyword ranked search with dynamic updation as an area of data searching (information seeking), have been chosen here as a research dimension. One more thing is that the in most of the cases searching is bounded to unit keyword only. Hence, we have chosen the other dimension of searching which is multi keyword ranking search. Moreover, efforts have not been made in the area of dynamic updation earlier. Here dynamic updation caters the addition and deletion of documents dynamically. For covering the dynamic updation part the scheme SSEDU (searchable symmetric encryption with dynamic updation) has been designed and deployed. In this paper we have presented the efforts made for the performance evaluation of the said SSEDU scheme.

Keywords

Cloud Computing, Dynamic Updation, Multi-Keyword Ranked Search, SSEDU.
User
Notifications
Font Size

  • Narendra K. and Narsimhareddy Gkv. , “Dynamic Multi-Keyword Ranking Scheme on Encrypted Cloud Data”, International Journal of Innovative Technology and Research, Volume No.4, Issue No.4, June – July 2016.
  • Gomathi M. and Seenivasan D., “Dynamic multi-keyword rank scheme using Top key over encrypted cloud data”, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 04 | April-2016.
  • Narayankar Ajaykumar, Rathod Gajanan, Londhe Sanket , Wankhade Ashish and Ansari M.A., “Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 2, February 2016.
  • Neeshima P.P., Hegde Pavitra Shankar, P. Poojashree and Pallavi G.B, “A multi keyword ranked search technique with provision for dynamic update of encrypted documents in cloud”, International Journal of Computer Engineering and Applications, Volume X, Issue III, March 16.
  • Karthick K.S. and Deepa P , “A Secure and Dynamic Multi-keyword Ranking Search On Encrypted Cloud Data using GDFS”, International Journal on Advanced Computer Theory and Engineering (IJACTE), Volume -5, Issue -2, 2016
  • HARIKA HAMPI K. S., LAKSHMI K. and PREM KUMAR S., “A Secure and Dynamic Multi Keyword Ranked Search Scheme Over Encrypted Cloud Data”, International Journal of Innovative Technologies, Volume.04, Issue No.08, July-2016, Pages: 1406-1411
  • Saravanan K.S.and Karthika S., “A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 2, February 2016
  • Metkari Siddheshwar S. and Sonkamble S.B., “Multi-keyword Ranked Search Over Encrypted Cloud Data Supporting Synonym Query”, International Journal of Science and Research (IJSR), Volume 5 Issue 6, June 2016
  • Jain Purva and Banubakode Abhijit, “A Review Paper on Multi keyword Ranked Search on Encrypted Cloud Data”, IOSR Journal of Computer Engineering (IOSR-JCE), PP 28-32, 2015
  • Xia Zhihua, Wang Xinhua, Sun Xingming and Wang Qian , “A Secure and Dynamic Multikeyword Ranked Search Scheme over Encrypted Cloud Data”, IEEE Transactions on Parallel and Distributed Systems, Vol. 1, p.p.1-13, 2015
  • Strizhov Mikhail, “Towards a Practical and Efficient Search over Encrypted Data in the Cloud”, IEEE International Conference on Cloud Engineering, Vol. 15, p.p. 496-498, 2015
  • Chen Chi, Zhu Xiaojie, Shen Peisong, Hu J., Guo S., Tari Z.and Zomaya Albert Y. “An Efficient Privacy Preserving Ranked Keyword Search Method”, IEEE Transactions on Parallel and Distributed Systems, Vol. 1, p.p. 1-14,2015
  • Chen Chi, Zhu Xiaojie, Shen Peisong, Hu J., Guo S., Tari Z and Zomaya Albert Y. “An Efficient Privacy Preserving Ranked Keyword Search Method”, IEEE Transactions on Parallel and Distributed Systems, Vol. 1, p.p. 1-14, 2015
  • Cash D., Jarecki S., Julta C., Krawczyk H., Rosu M. –C. and Steiner M. “Dynamic Searchable encryption in very large databases: Data structures and implementation”, in Proc of NDSS, vol. 14, 2014
  • Wang B., Yu S., Lou W. and Hou Y.T. “Privacy preserving multi-keyword fuzzy search over encrypted data in the cloud”, in IEEE INFOCOM, 2014.
  • Zhao Ruihui, Li Hongwei, Yang Yi and Liang Yu, “Privacy-preserving Personalized Search over Encrypted Cloud Data Supporting Multi-keyword Ranking”, Sixth International Conference on Wireless Communications and Signal Processing (WCSP), Vol. 14, p.p. 1-6,2014
  • Ren Yanzhi, Chen Yingying, Yang Jie, Xie Bin, “Privacy-preserving Ranked MultiKeyword Search Leveraging Polynomial Function in Cloud Computing”, Vol. 15,p.p. 594-600, 2014
  • Sun Wenhai, Wang Bing, Cao Ning, Li Ming, Lou Wenjing, Hou Y. Thomas, Fellow and Hui Li, “Verifiable Privacy Preserving Multi Keyword Text Search in the Cloud Supporting Similarity Based Ranking”, IEEE Transactions On Parallel And Distributed Systems, Vol. 25, No. 11, p.p. 3025-3035, November 2014
  • Ajai Ajni.K. and Rajesh R.S., “Hierarchical Multi-keyword Ranked Search for Secured Document Retrieval in Public Clouds”, International Conference on Communication and Network Technologies (ICCNT), Vol. 14, p.p. 33-37, 2014
  • Zhang Wei, Xiao Sheng, Lin Yaping, Zhou Ting and Zhou Siwang, “Secure Ranked MultiKeyword Search for Multiple Data Owners in Cloud Computing”, 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Vol. 14, p.p. 276-286, 2014
  • Wang Qinqin, Zhu Yanqin and Luo Xizhao,” Multi-user Searchable Encryption with FineGrained Access Control without Key Sharing”, 3rd International Conference on Advanced Computer Science Applications and Technologies, Vol. 15,p.p.145-150,2014
  • Cao Ning , Wang Cong, Li Ming, Ren Kui and Lou Wenjing, “Privacy - Preserving Multi Keyword Ranked Search over Encrypted Cloud Data”, IEEE Transactions On Parallel And Distributed Systems, Vol. 25, No. 1, p.p. 222-333, January 2014.

Abstract Views: 280

PDF Views: 0




  • Design and Analysis of New Multi Keyword Ranked Search Schema Called SSEDU in Cloud Computing

Abstract Views: 280  |  PDF Views: 0

Authors

Pawan Kumar Tanwar
Department of Computer Science, Poornima University, Jaipur, India
Ajay Khunteta
Department of Computer Science, Poornima University, Jaipur, India
Vishal Goar
Department of Computer Application, Govt. Engineering College, Bikaner, India

Abstract


In these days, required information can be searched through the cloud. Henceforth, this paper deals with the cloud computing, where information seeking and privacy preservation are the main area of emphasis. Therefore, keeping multi-keyword ranked search with dynamic updation as an area of data searching (information seeking), have been chosen here as a research dimension. One more thing is that the in most of the cases searching is bounded to unit keyword only. Hence, we have chosen the other dimension of searching which is multi keyword ranking search. Moreover, efforts have not been made in the area of dynamic updation earlier. Here dynamic updation caters the addition and deletion of documents dynamically. For covering the dynamic updation part the scheme SSEDU (searchable symmetric encryption with dynamic updation) has been designed and deployed. In this paper we have presented the efforts made for the performance evaluation of the said SSEDU scheme.

Keywords


Cloud Computing, Dynamic Updation, Multi-Keyword Ranked Search, SSEDU.

References