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中文摘要：
作者提出综合侵入察觉(标志) 基于人工的免疫者(IIDAI ) 当模特儿，种痘策略基于基因和一个方法到的意义度与不平的集合(RS ) 产生起始的记忆抗体。IIDAI 集成二种侵入察觉模式：误用察觉和匿名的察觉。误用察觉和匿名的察觉被使用检测知道并且未知攻击分别地。根据 IIDAI 模型，一个标志算法被介绍。模拟证明 IIDAI 在可行性和有效性比传统的标志方法有更好的性能。由使用种痘策略完成更高的集中率是很容易的。而且， RS 能移开冗余性属性并且增加察觉速度。它能也由使用综合方法增加察觉率。
英文摘要：
The author puts forward an integrated intrusion detection （ID） model based on artificial immune （IIDAI）, a vaccination strategy based on the significance degree of genes and a method to generate initial memory antibodies with rough set （RS）. IIDAI integrates two kinds of intrusion detection mode： misuse detection and anonymous detection. Misuse detection and anonymous detection are applied to detect the known and the unknown attacks, respectively. On the basis of IIDAI model, an ID algorithm is presented. Simulation shows that the IIDAI has better performance than traditional ID methods in feasibility and effectiveness. It is very prone to achieve a higher convergence rate by using the vaccination strategy. Moreover, RS can remove the redundancy attributes and increase the detection speed. It can also increase detection rate by applying the integrated method.
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A Distributed Fault/Intrusion-Tolerant Sensor Data Storage Scheme Based on Network Coding and Homomo
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