ACO-BTM: A Behavior Trust Model in Cloud Computing Environment
ACO-BTM: A Behavior Trust Model in Cloud Computing Environment
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DOI：
10.1080/18756891.2013.864479
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发表时间：
2014-09
期刊：
影响因子：
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通讯作者：
Guoyuan Lin;Yuyu Bie;Min Lei;K. Zheng
中科院分区：
文献类型：
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作者：
Guoyuan Lin;Yuyu Bie;Min Lei;K. Zheng
摘要针对云计算中的信任问题，分析了采用蚁群优化算法模拟云计算中实体间信任关系的可行性，提出了一种新的行为信任模型：ACO-BTM.云计算中实体之间的信任关系是动态的、不确定的、难以量化的。ACO-BTM引入信息素和转移概率的概念来表示行为信任。然后重点研究了动态信任评估、时间约束等问题。在此基础上，给出了行为信任评估的详细算法流程.最后，将ACO-BTM应用于云计算平台，模拟行为信任关系的建立。通过仿真实验验证了信任度随时间和交互频率的变化。与其他模型相比，ACO-BTM模型能提供更好的信任推荐服务，并能有效抵御恶意节点的攻击。
AbstractConsidering trust issues in cloud computing, we analyze the feasibility of adopting ant colony optimization algorithm to simulate trust relationships between entities in the cloud and then propose a novel behavior trust model: ACO-BTM. Trust relationships between entities in cloud computing are dynamic, uncertain and hard to quantify. ACO-BTM introduces the conception of ‘pheromone’ and transition probability to represent behavior trust. Then, it focuses on the research of dynamic trust evaluation, time constraint and some other issues. Furthermore, a detailed algorithm process of behavior trust evaluation is given in this context. Finally, ACO-BTM is applied to cloud computing platform to simulate the establishment of behavior trust relationships. The simulation experiment verifies that trust degree change with time varies and the frequency of interactions. Compared with the other model, ACO-BTM can provide better trust recommendation services and protect against attacks of malicious nodes effect...