TY - JOUR
T1 - Index Generation and Secure Multi-user Access Control over an Encrypted Cloud Data
AU - Raghavendra, S.
AU - Meghana, K.
AU - Doddabasappa, P. A.
AU - Geeta, C. M.
AU - Buyya, Rajkumar
AU - Venugopal, K. R.
AU - Iyengar, S. S.
AU - Patnaik, L. M.
N1 - Publisher Copyright:
© 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
PY - 2016
Y1 - 2016
N2 - Cloud computing provides economical and effective solution for sharing data among cloud users with low maintenance cost. The security of data and identity confidentiality while sharing data in multi-owner way cannot be assured by the Cloud Service Providers (CSP's). The Cloud Service Providers are reliable but curious to know the recurrent membership changes in the cloud. In this paper, we propose a secure multi-owner data sharing for dynamic group in the cloud with RSA Chinese Remainder Theorem (RSA-CRT) encryption technique and substring index generation method. RSA-CRT efficiently manages revocation list, key management, with reduced storage and computational overhead. The substring Index generation algorithm reduces the storage space compared to wild card fuzzy alogorithm1.
AB - Cloud computing provides economical and effective solution for sharing data among cloud users with low maintenance cost. The security of data and identity confidentiality while sharing data in multi-owner way cannot be assured by the Cloud Service Providers (CSP's). The Cloud Service Providers are reliable but curious to know the recurrent membership changes in the cloud. In this paper, we propose a secure multi-owner data sharing for dynamic group in the cloud with RSA Chinese Remainder Theorem (RSA-CRT) encryption technique and substring index generation method. RSA-CRT efficiently manages revocation list, key management, with reduced storage and computational overhead. The substring Index generation algorithm reduces the storage space compared to wild card fuzzy alogorithm1.
UR - http://www.scopus.com/inward/record.url?scp=84986571296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84986571296&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2016.06.062
DO - 10.1016/j.procs.2016.06.062
M3 - Conference article
AN - SCOPUS:84986571296
SN - 1877-0509
VL - 89
SP - 293
EP - 300
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 12th International Conference on Communication Networks, ICCN 2016, 12th International Conference on Data Mining and Warehousing, ICDMW 2016 and 12th International Conference on Image and Signal Processing, ICISP 2016
Y2 - 19 August 2016 through 21 August 2016
ER -