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    題名: Strategies to Improve Auditing Performance and Soundness for Cloud Computation
    作者: Hwang, Shin-Jia;Li, Tsung-Lin
    關鍵詞: Merkle hash trees, Cloud auditing, Cloud computing, Cloud storage, Digital signature schemes
    日期: 2018-03-28
    上傳時間: 2019-03-06 12:11:06 (UTC+8)
    出版者: Springer International Publishing
    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.
    關聯: International Conference on Security with Intelligent Computing and Big-data Services
    DOI: 10.1007/978-3-319-76451-1
    顯示於類別:[資訊工程學系暨研究所] 專書之單篇


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