作为一种无中心分布控制网络— ad hoc网络 ,它的安全特性对安全防范提出了更高的要求 .入侵检测技术作为安全防范的第二道设施 ,是 ad hoc网络获得高抗毁性的必要手段 .提出了 ad hoc网络的安全性 ,在描述入侵检测技术的相关内容基础...作为一种无中心分布控制网络— ad hoc网络 ,它的安全特性对安全防范提出了更高的要求 .入侵检测技术作为安全防范的第二道设施 ,是 ad hoc网络获得高抗毁性的必要手段 .提出了 ad hoc网络的安全性 ,在描述入侵检测技术的相关内容基础上 ,针对 ad hoc网络提出多层分布式入侵检测技术的具体实现 :MAIDS(Mobile Agent Intrusion Detection System) .MAIDS是基于信任的簇划分机制下的多层分布式入侵检测系统 .展开更多
Because of the anonymity and openness of online transactions and the richness of network resources, the problems of the credibility of the online trading and the exact selection of network resources have become acute....Because of the anonymity and openness of online transactions and the richness of network resources, the problems of the credibility of the online trading and the exact selection of network resources have become acute. For this reason, a reputation-based multi-agent model for network resource selection (RMNRS) is presented. The model divides the network into numbers of trust domains. Each domain has one domain-agent and several entity-agents. The model prevents the inconsistency of information that is maintained by differ-ent agents through the periodically communication between the agents. The model enables the consumers to receive responses from agents significantly quicker than that of traditional models, because the global reputation values of service providers and consumers are evaluated and updated dynamically after each transaction. And the model allocates two global reputation values to each entity and takes the recognition value that how much the service provider knows the service into account. In order to make users choose the best matching services and give users with trusted services, the model also takes the similarity between services into account and uses the similarity degree to amend the integration reputation value with harmonic-mean. Finally, the effectiveness and feasibility of this model is illustrated by the experiment.展开更多
文摘Because of the anonymity and openness of online transactions and the richness of network resources, the problems of the credibility of the online trading and the exact selection of network resources have become acute. For this reason, a reputation-based multi-agent model for network resource selection (RMNRS) is presented. The model divides the network into numbers of trust domains. Each domain has one domain-agent and several entity-agents. The model prevents the inconsistency of information that is maintained by differ-ent agents through the periodically communication between the agents. The model enables the consumers to receive responses from agents significantly quicker than that of traditional models, because the global reputation values of service providers and consumers are evaluated and updated dynamically after each transaction. And the model allocates two global reputation values to each entity and takes the recognition value that how much the service provider knows the service into account. In order to make users choose the best matching services and give users with trusted services, the model also takes the similarity between services into account and uses the similarity degree to amend the integration reputation value with harmonic-mean. Finally, the effectiveness and feasibility of this model is illustrated by the experiment.
