摘要
提出了基于半马尔可夫过程(SMP)的拓扑容侵定量评估模型。因节点计算、存储能力等限制,在入侵结果统一层面上建模,简化了模型设计。利用内嵌DTMC求解出拓扑可用性、稳定性和服务率指标,提出贝叶斯网络指标推理方法,提高了容侵能力评估的准确性。分析了模型对参数的敏感性,通过实例剖析和比较,验证了拓扑容侵定量评估模型的有效性。
Based on semi-Markov process （SMP） a quantitative evaluation model was proposed to estimate ability of the topology intrusion-tolerance.For some limitations of node computation ability and storage ability the model was set up on the uniform intruding results to simplify the design.Using the DTMC embedded in SMP to solve attributes describing intrusion-tolerance,thus such attributes of the topology as availability,stability and servicing rate could be obtained.A Bayes network reasoning model was proposed to enhance accuracy of evaluation of intrusion tolerance ability.Sensitivity of parameters in the model was analyzed.It confirms validity of the quantitative evaluating model of topology intrusion tolerance through examples analysis and comparison.
出处
《通信学报》
EI
CSCD
北大核心
2010年第7期24-32,共9页
Journal on Communications
基金
国家自然科学基金资助项目(60703115)
国家博士后科学基金资助项目(20070420955)
江苏省自然科学基金资助项目(BK2007560)
江苏省博士后科学基金资助项目(0702003B)
江苏省研究生创新计划基金资助项目(CX09B_203Z)
国家社会科学基金资助项目(09CTJ006)~~
关键词
无线传感器网络
半马尔可夫过程
拓扑容侵
贝叶斯网络
定量评估
wireless sensor networks
semi-Markov process
topology intrusion tolerance
Bayes network
quantitative evaluation
