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Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
ISBN: 978-1-4673-2892-0
pp: 494-501
Data and computation integrity and security are major concerns for users of cloud computing facilities.  Many production-level clouds optimistically assume that all cloud nodes are equally trustworthy when dispatching jobs; jobs are dispatched based on node load, not reputation.  This increases their vulnerability to attack, since compromising even one node suffices to corrupt the integrity of many distributed computations. This paper presents and evaluates Hatman: the first full-scale, data-centric, reputation-based trust management system for Hadoop clouds.  Hatman dynamically assesses node integrity by comparing job replica outputs for consistency.  This yields agreement feedback for a trust manager based on EigenTrust.  Low overhead and high scalability is achieved by formulating both consistency-checking and trust management as secure cloud computations; thus, the cloud's distributed computing power is leveraged to strengthen its security.  Experiments demonstrate that with feedback from only 100 jobs, Hatman attains over 90% accuracy when 25% of the Hadoop cloud is malicious.
Cloud computing, Clouds, Security, Vectors, Computer architecture, Reliability, Scalability, security, cloud computing, integrity, Hadoop, reputation-based trust management
Safwan Mahmud Khan, Kevin W. Hamlen, "Hatman: Intra-cloud Trust Management for Hadoop", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 494-501, doi:10.1109/CLOUD.2012.64
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