TY - JOUR
T1 - MMBcloud-tree
T2 - Authenticated index for verifiable cloud service selection
AU - Li, Jingwei
AU - Squicciarini, Anna Cinzia
AU - Lin, Dan
AU - Sundareswaran, Smitha
AU - Jia, Chunfu
N1 - Funding Information:
The authors would like to thank our anonymous reviewers for their insightful comments that helped improve the paper. The work of Anna Squicciarini is funded by the National Science Foundation under the auspiceis of grant NSF-1250319. The work of Dan Lin is funded by the National Science Foundation (NSF-DGE-1433659). The work of Chunfu Jia is funded by the National Key Basic Research Program of China (Grant No. 2013CB834204), the National Natural Science Foundation of China (Grant No. 61272423), the Natural Science Foundation of Tianjin (Grant No. 14JCYBJC15300), and the Open Project Foundation of Information Security Evaluation Center of Civil Aviation, Civil Aviation University of China (Grant No. CAACISECCA- 201403). D. Lin is the corresponding author.
Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Cloud brokers have been recently introduced as an additional computational layer to facilitate cloud selection and service management tasks for cloud consumers. However, existing brokerage schemes on cloud service selection typically assume that brokers are completely trusted, and do not provide any guarantee over the correctness of the service recommendations. It is then possible for a compromised or dishonest broker to easily take advantage of the limited capabilities of the clients and provide incorrect or incomplete responses. To address this problem, we propose an innovative cloud service selection verification (CSSV) scheme and index structures (MMBcloud-Tree) to enable cloud clients to detect misbehavior of the cloud brokers during the service selection process. We demonstrate correctness and efficiency of our approaches both theoretically and empirically.
AB - Cloud brokers have been recently introduced as an additional computational layer to facilitate cloud selection and service management tasks for cloud consumers. However, existing brokerage schemes on cloud service selection typically assume that brokers are completely trusted, and do not provide any guarantee over the correctness of the service recommendations. It is then possible for a compromised or dishonest broker to easily take advantage of the limited capabilities of the clients and provide incorrect or incomplete responses. To address this problem, we propose an innovative cloud service selection verification (CSSV) scheme and index structures (MMBcloud-Tree) to enable cloud clients to detect misbehavior of the cloud brokers during the service selection process. We demonstrate correctness and efficiency of our approaches both theoretically and empirically.
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U2 - 10.1109/TDSC.2015.2445752
DO - 10.1109/TDSC.2015.2445752
M3 - Article
AN - SCOPUS:85021706481
VL - 14
SP - 185
EP - 198
JO - IEEE Transactions on Dependable and Secure Computing
JF - IEEE Transactions on Dependable and Secure Computing
SN - 1545-5971
IS - 2
M1 - 7123598
ER -