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Research Article
Enhancing Search Precision Through Dictionary Lexical Analysis
A. Joyal Jones1
Dr. V. Vaidehi2
PG Student, Department of Computer Applications, DR MGR Educational and Research institute Chennai, Tamil Nadu, India. 2 Professor, Department of Computer Applications, DR MGR Educational and Research institute Chennai, Tamil Nadu, India
Published Online: May-June 2024
Pages: 43-46
Cite this article
No DOIReferences
1. Ferguson N et al, “A simple algebraic representation of Rinjindal,” in Selected Areas in Cryptography. Springer, 2001, pp.103-111.
2. Hongwei Li et al, “Multi keyword search supporting classified sub dictionaries over encrypted cloud data,” DOI
10.1109/TDSC.2015.2406704, IEEE Transactions on Dependable and Secure Computing.
3. Jiadi Yu et al, “Multi keyword Top-K retrieval over encrypted cloud data,” IEEE Transactions on Dependable and Secure Computing,
vol. 10. No. pp. 239-250, 2013.
4. LI D Liu, Y.Dai et al, “Multi keyword ranked query over encrypted cloud data,” Future Generation Computer Systems. Vol. 30. Pp. 179-
190, 2014.
5. Liu H. Li. D et al, “Multi keyword search over encrypted cloud data through blind storage,” IEEE Transactions on Emerging Topics in
Computing, 2014, DO110.1109/TETC.2014.2371239.
6. Ren W. K., C.Wang et al, “Security challenge for the encrypted public cloud,” IEEE Internet Computing, vol. 16, no. 1, pp, 69-73, 2012.
7. Wenhai Sun et al, “Multi keyword text search in the cloud for similarity based ranking,” IEEE Transactions on Parallel and Distributed
Systems, vol. DOI: 10.1109/TPDS.2013.282. 2013.
8. Wong W. K et al, “KNN computation on encrypted databases,” in Proceedings of SIGMOD Internal Conference on Extending
Database technology. Advances in database technology. ACM, 2008, pp. 287-298.
9. Yang Yang et al, “Flexible Wildcard Searchable Encryption System”, in Proceeding of IEEE transaction on cloud computing DOI
10.1109/TSC.2017.27146.
10. W. K. Wong et al, “Multi keyword Supporting Gram Based Fuzzy Search”, in conference on Information Communication and
Embedded System (ICICES 2016).
2. Hongwei Li et al, “Multi keyword search supporting classified sub dictionaries over encrypted cloud data,” DOI
10.1109/TDSC.2015.2406704, IEEE Transactions on Dependable and Secure Computing.
3. Jiadi Yu et al, “Multi keyword Top-K retrieval over encrypted cloud data,” IEEE Transactions on Dependable and Secure Computing,
vol. 10. No. pp. 239-250, 2013.
4. LI D Liu, Y.Dai et al, “Multi keyword ranked query over encrypted cloud data,” Future Generation Computer Systems. Vol. 30. Pp. 179-
190, 2014.
5. Liu H. Li. D et al, “Multi keyword search over encrypted cloud data through blind storage,” IEEE Transactions on Emerging Topics in
Computing, 2014, DO110.1109/TETC.2014.2371239.
6. Ren W. K., C.Wang et al, “Security challenge for the encrypted public cloud,” IEEE Internet Computing, vol. 16, no. 1, pp, 69-73, 2012.
7. Wenhai Sun et al, “Multi keyword text search in the cloud for similarity based ranking,” IEEE Transactions on Parallel and Distributed
Systems, vol. DOI: 10.1109/TPDS.2013.282. 2013.
8. Wong W. K et al, “KNN computation on encrypted databases,” in Proceedings of SIGMOD Internal Conference on Extending
Database technology. Advances in database technology. ACM, 2008, pp. 287-298.
9. Yang Yang et al, “Flexible Wildcard Searchable Encryption System”, in Proceeding of IEEE transaction on cloud computing DOI
10.1109/TSC.2017.27146.
10. W. K. Wong et al, “Multi keyword Supporting Gram Based Fuzzy Search”, in conference on Information Communication and
Embedded System (ICICES 2016).
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