提出一种云计算的软件服务的信誉度量方法一动态演变的鲁棒信任模型DRT。DRT模型的优势在于:能有效地刻画动态特征,包括加权评级变化,时间演变,记忆平滑处理;信誉评级方法合理,包括依信誉权重的直接评级和间接评级;健壮性高,能抵御Bad-mouth、Id-shift、Collusion、Trust-abuse及其联合攻击。并提出DTAA攻击检测算法来检测Collusion攻击(以及联合攻击)。模拟实验表明,关键信誉评级方法高效可行。
A model for evaluating the repudiation of software service in cloud computing - a dynamical robust trust model DRT, is proposed. It can describe the dynamics of reputation including weighted grading alternation, time evolution, and memory smoothing process. It also consists a reasonable grading system, including weighted directly grading and indirectly grading. Moreover, the ro- bustness of the model performs well in that it can defend Bad-mouth, Id-shift, Collusion and Trust-abuse attacks { and their combina- tions ). A detection algorithm - DAAT is also proposed for detection of Collusion attack ( and combination attack }. The simulation justified that the grading system is efficient and feasible.