A New Method for Searching Keyword in Cloud Servers Using Anfis

Volume 11, Issue 4, pp 300 - 308 http://dx.doi.org/10.22436/jmcs.011.04.05

Download PDF

Download XML

• Export citations
  • CITATIONS & REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • ARTICLE CITATION
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)
  • REFERENCES
  • EndNote (.ENW)
  • Mendeley, JabRef (.BIB)
  • Papers, Zotero, Reference Manager, RefWorks (.RIS)

• 2429 Downloads
• 3446 Views

Authors

Fatemeh Goli - Mirdamad Institute for Higher Education, Gorgan, Iran. Hossein Momeni - Golestan University, Gorgan, Iran. Ali Yavari - Sama technical and vocational training college, Islamic Azad University, Gorgan Branch, Gorgan, Iran.

Abstract

With the popularity of computing cloud in recent decade, sensitive information is stored in cloud systems. To protect the sensitive data before saving, cryptographic operation must be done. In cryptography with the traditional method the user can search its data with high security ability, but the disadvantage of this method is to enter the same items in data for searching. And there is not any virtual error for false type. This major weakness causes not to harmonize the alone mentioned method in searching on cloud servers. In this paper we solve the search problem of cloud encrypted words in light and fuzzy system with maintaining the data security. Its aim is to search in cases which there is not the user's possible errors be changed into the rules using a light and fuzzy network, and discussed with the use of neural network to learning the pattern of the server data, and when searching the network provides the closest option to the user. Our experimental results show that this method of diagnosis is above 90 percent in the scope of the written rules for fuzzy system.

Share and Cite

Keywords

• cloud computing
• fuzzy search
• neural search
• neuro-fuzzy
• cryptography

MSC

•  94A60

References

• [1] M. Bellare, A. Boldyreva, A. O’Neill, Deterministic and efficiently searchable encryption, in Proceedings of Crypto 2007, volume 4622 ofLNCS, Springer-Verlag (2007)
  • View Article
  • MathSciNet
  • Google Scholar
  • MATH


• [2] F. Bao, R. Deng, X. Ding, Y. Yang, Private query on encrypted data in multi-user settings, in Proc. of ISPEC’08, (2008)
  • View Article
  • MathSciNet
  • Google Scholar


• [3] R. Curtmola, J. A. Garay, S. Kamara, R. Ostrovsky, Searchable symmetric encryption: improved definitions and efficient constructions, in Proc. of ACM CCS’06, (2006)
  • Google Scholar


• [4] Jin Li, Qian Wang, Cong Wang, Ning Cao, Kui Ren, Wenjing Lou, Fuzzy Keyword Search over Encrypted Data in Cloud Computing, , (2010)
  • View Article
  • Google Scholar


• [5] V. Levenshtein, Binary codes capable of correcting spurious insertions and deletions of ones, Problems of Information Transmission, 1 (1965), 8–17
  • Google Scholar


• [6] B. Waters, D. Balfanz, G. Durfee, D. Smetters, Building an encrypted and searchable audit log, in Proc. of 11th Annual Network and Distributed System, (2004)
  • Google Scholar


• [7] J. M. Zurada, Introduction to artificial neural systems , vol. 8: West publishing company , New York (1992)
  • Google Scholar


• [8] S. Mitra, Y. Hayashi, Neuro-fuzzy rule generation: survey in soft computing framework, Neural Networks, IEEE Transactions on, 11 (2000), 748-768
  • View Article
  • Google Scholar


• [9] C. Li, J. Lu, Y. Lu, Efficient merging and filtering algorithms for approximate string searches, in Proc. of ICDE’08, (2008)
  • View Article
  • Google Scholar


• [10] S. Ji, G. Li, C. Li, J. Feng, Efficient interactive fuzzy keyword search, in Proc. of WWW’09, (2009)
  • View Article
  • Google Scholar


• [11] D. Song, D. Wagner, A. Perrig, Practical techniques for searches on encrypted data, in Proc. of IEEE Symposium on Security andPrivacy’00, (2000)
  • View Article
  • Google Scholar


• [12] E.-J. Goh, Secure indexes, Cryptology ePrint Archive, Report2003/216 (2003)
  • Google Scholar


• [13] Y.-C. Chang, M. Mitzenmacher, Privacy preserving keyword searches on remote encrypted data, in Proc. of ACNS’05, (2005)
  • View Article
  • Google Scholar
  • MATH


• [14] D. Boneh, G. D. Crescenzo, R. Ostrovsky, G. Persiano, Public key encryption with keyword search, in Proc. of EUROCRYP’04, (2004)
  • View Article
  • Google Scholar


• [15] J. Feigenbaum, Y. Ishai, T. Malkin, K. Nissim, M. Strauss, R. N.Wright, Secure multiparty computation of approximations, in Proc. Of ICALP’01. , ()
  • View Article
  • MathSciNet
  • Google Scholar


• [16] R. Ostrovsky, Software protection and simulations on oblivious rams, Ph.D dissertation, Massachusetts Institute of Technology (1992)
  • MathSciNet
  • Google Scholar