English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 55178/89446 (62%)
造访人次 : 10659997      在线人数 : 18
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115875

    题名: Strategies to Improve Auditing Performance and Soundness for Cloud Computation
    作者: Hwang, Shin-Jia;Li, Tsung-Lin
    关键词: Merkle hash trees, Cloud auditing, Cloud computing, Cloud storage, Digital signature schemes
    日期: 2018-03-28
    上传时间: 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
    显示于类别:[資訊工程學系暨研究所] 專書之單篇


    档案 描述 大小格式浏览次数



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈