@inproceedings{b229c7d595e34eeb92a4e4d3be8a0cb0,
title = "Indextree: An efficient tamper-evidence logging",
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 IndexTree which is a utility for tamper-evidence logging construction. IndexTree supports efficient proof generation and verification and its proof size is much smaller which is convenient to exchange among distributed nodes. Experiments show IndexTree has advantages in proof size, proof generation and verification compared with AASL.",
keywords = "Accountability, Data integrity, Equivocation, Merkle tree, Tamper-evidence",
author = "Yanwen Bao and Yongjian Wang and Zhongzhi Luan and Xiang Pei and Depei Qian",
year = "2010",
doi = "10.1109/HPCC.2010.41",
language = "英语",
isbn = "9780769542140",
series = "Proceedings - 2010 12th IEEE International Conference on High Performance Computing and Communications, HPCC 2010",
pages = "701--706",
booktitle = "Proceedings - 2010 12th IEEE International Conference on High Performance Computing and Communications, HPCC 2010",
note = "2010 12th IEEE International Conference on High Performance Computing and Communications, HPCC 2010 ; Conference date: 01-09-2010 Through 03-09-2010",
}