An Accurate and Multi-faceted Reputation Scheme for Cloud Computing
An Accurate and Multi-faceted Reputation Scheme for Cloud Computing
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DOI：
10.1016/j.procs.2014.07.021
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Miao Wang;Guiling Wang;Jie Tian;Hanwen Zhang;Yujun Zhang
中科院分区：
文献类型：
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作者：
Miao Wang;Guiling Wang;Jie Tian;Hanwen Zhang;Yujun Zhang
随着云计算的快速发展，信誉系统对云计算服务的重要性引起了人们的广泛关注。建立一个客观可靠的信誉机制是推动云计算发展的关键。针对云计算环境下信誉评估面临的挑战，包括云服务的多样性和恶意评级的复杂性，提出了一种基于云计算的准确多面信誉评估方案（Accurate and Multi-faceted Reputation Scheme for Cloud Computing，AMRep）.针对云计算信誉系统面临的新漏洞，AMRep提出了几种恶意评级检测方法来提高信誉计算的准确性。此外，我们建立了一个多方面的声誉评估方法，可以帮助用户从不同的角度评估和选择云服务。实验结果表明，AMRep方案能够有效抵御恶意评分，并准确计算云服务的信誉值。
With the rapid growth of cloud computing, the importance of a reputation system for cloud computing services has attracted a lot of attention. Building an objective and reliable reputation scheme has been crucial to promote the development of cloud computing. To address the challenges of reputation evaluation in cloud computing, including the diverse nature of cloud services and intricacy of malicious ratings, an Accurate and Multi-faceted Reputation scheme for cloud computing (AMRep) is proposed. As the reputation systems of cloud computing are exposed to new vulnerabilities, AMRep introduces a couple of malicious rating detection approaches to improve the accuracy of reputation calculation. Additionally, we establish a multi-faceted reputation evaluation method, which can help user assess and choose cloud services from different angles. Experiments reveal that our AMRep scheme can effectively defend against malicious ratings, and accurately calculate the reputation values of cloud services.