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EigenCloud: A Cooperation and Trust-Aware Dependable Cloud File-Sharing Network

机译:eigencloud:合作和信任感知的可靠云文件共享网络

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摘要

There exist two severe challenges in cloud file-sharing networks: cooperation dilemma and trust dilemma. The mechanism designed to promote cooperation could suffer from malicious users, while the trust management that only considers the trust dilemma is subjected to denial-of-service attacks. To address these two dilemmas simultaneously, we present a dependable cloud file-sharing scheme-EigenCloud. The main contributions include the following. First, we propose a modified EigenTrust algorithm to calculate the global cooperation value and global trust value of each cloud user based on her/his past behaviors. Second, we propose cooperation and trust-aware worker recommendation mechanism by determining a Pareto front from all cloud users. Thus, a cloud user who adopts the recommendation mechanism by paying an additional fee could have a higher probability of receiving a valid file in one transaction. Last but not least, we use the evolutionary game theory (EGT) to study the acceptance and effectiveness of the proposed EigenCloud by strategically modeling cloud users. The Lyapunov stability theory is employed to mathematically investigate the stability of evolutionary equilibriums of our EigenCloud. Finally, both numerical simulations and simulator-driving experiments illustrate that our EigenCloud has an outstanding performance in promoting cooperation and inhibiting malicious activity.
机译:云文件共享网络中存在两个严重挑战:合作困境和信任困境。旨在促进合作的机制可能遭受恶意用户,而仅考虑信任困境的信任管理受到拒绝服务攻击。要同时解决这两个困境,我们呈现了一个可靠的云文件共享方案-EigenCloud。主要贡献包括以下内容。首先,我们提出了一种修改的简历算法,以计算基于她/他的过去的行为的每个云用户的全局合作价值和全局信任价值。其次,我们通过确定所有云用户的帕累托正面提出合作和信任知识的工作人员推荐机制。因此,通过支付额外费用通过支付推荐机制的云用户可能在一个事务中接收有效文件的概率更高。最后但并非最不重要的是,我们使用进化博弈论(EGT)来通过策略性建模云用户来研究建议的特征Cloud的接受和有效性。 Lyapunov稳定性理论用于数学地研究我们特征的进化均衡的稳定性。最后,数值模拟和模拟器驾驶实验表明,我们的特征Cloud在促进合作和抑制恶意活动方面具有出色的表现。

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