Strategies to Improve Auditing Performance and Soundness for Cloud Computation
學年 106
學期 2
出版（發表）日期 2018-03-28
作品名稱 Strategies to Improve Auditing Performance and Soundness for Cloud Computation
作品名稱（其他語言）
著者 Shin-Jia Hwang; Tsung-Lin Li
單位
出版者 Springer International Publishing
著錄名稱、卷期、頁數 International Conference on Security with Intelligent Computing and Big-data Services
摘要 Since the cloud computation auditing becomes important recently, Wei et al. proposed their cloud computation auditing scheme. However, they assume that the cheating adversary always gives the random response for the auditing challenges. This assumption is impractical. When only a small part of adversary’s response is random, the number of challenges is increased dramatically. Then the auditing load becomes so heavy that the auditor cannot give the auditing results in reasonable time. Moreover, the probability of finding out incorrect computed results cannot reach that the users want. To improve the on-line audit performance or probability, the off-line easy-auditor improving strategy, the function-based improving strategy, and mixed strategy are proposed, respectively. Utilizing the off-line computation concept and the cloud computation server help, the online audit performance, and the audit probability will be improved.
關鍵字 Merkle hash trees, Cloud auditing, Cloud computing, Cloud storage, Digital signature schemes
語言 en_US
ISBN 9783319764504
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115875 )