• DocumentCode
    2262011
  • Title

    IndexTree: An Efficient Tamper-Evidence Logging

  • Author

    Bao, Yanwen ; Wang, Yongjian ; Luan, Zhongzhi ; Pei, Xiang ; Qian, Depei

  • Author_Institution
    Sino-German Joint Software Inst., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    1-3 Sept. 2010
  • Firstpage
    701
  • Lastpage
    706
  • Abstract
    Data integrity is critical for many applications. With huge amount of data shared with the cloud computing platform, i.e. Amazon S3, GFS, Apache Hadoop etc, the risk of damage is increasing at the same time. Equivocation is a powerful tool that malicious nodes can use to poison the states of honest nodes and escape punishment. Accountability which makes the system actions verifiable has become the first-class citizen in distributed system design. Tamper-evidence logging is a useful utility to construct accountable system, and is used in different self-certify systems. In this paper, we present Index Tree which is a utility for tamper-evidence logging construction. Index Tree supports efficient proof generation and verification and its proof size is much smaller which is convenient to exchange among distributed nodes. Experiments show Index Tree has advantages in proof size, proof generation and verification compared with AASL.
  • Keywords
    Internet; data integrity; formal verification; tree data structures; IndexTree; cloud computing; data integrity; distributed node; proof generation; proof size; proof verification; self-certify system; tamper-evidence logging; Accountability; Data Integrity; Equivocation; Merkle Tree; Tamper-Evidence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications (HPCC), 2010 12th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-8335-8
  • Electronic_ISBN
    978-0-7695-4214-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2010.41
  • Filename
    5581422