Reputation program utilize the observing between the nodes to detect the bad one with good results. However, with the shortcomings of the large calculation and complicated process, it can not effectively deal with the high strength attack. Therefore, the program is proposed to determine the reputation value of the nodes. By contrasting the behavior between the ahead and latter nodes detect, the bad one to compute reputation value with Markov algorithm and give every node corresponding rewards and punishments. It is highly resistant performance to attack, can improve security and robustness of the overall sys tern, and less calculated quantity.%声誉方案利用节点之间相互观察和通告的手段来检测不良节点,具有较好的效果.然而,该方案也存在着计算量大,处理过程复杂、不能有效应对高攻击性等缺点,因此提出改进的声誉值确定方案.通过对前后跳节点行为的对比检测,采用Markov算法来计算节点的声誉值并进行相应的奖惩,使其具有较高的抗攻击性能,能够提高整个系统的安全性和鲁棒性,并且计算量不大.
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