CAJ | 학술논문

物联网的多源异构性使其安全面临更多的挑战，为实现跨层安全控制，部署多层融合的安全控制策略，提出了一种基于谱聚类的节点安全域分类算法。通过对物联网感知节点在历史安全事件中的波及状态统计，确定感知节点与攻击事件之间的相关性，进而利用谱聚类方法将节点划分为若干个安全控制域。基于事件相关性的谱聚类节点安全域划分，将为部署域内和域间的安全控制策略提供依据，从而整体提升物联网安全防护水平。
물련망적다원이구성사기안전면림경다적도전，위실현과층안전공제，부서다층융합적안전공제책략，제출료일충기우보취류적절점안전역분류산법。통과대물련망감지절점재역사안전사건중적파급상태통계，학정감지절점여공격사건지간적상관성，진이이용보취류방법장절점화분위약간개안전공제역。기우사건상관성적보취류절점안전역화분，장위부서역내화역간적안전공제책략제공의거，종이정체제승물련망안전방호수평。
In the Internet of Things( IoT) ,the property of multi-source and heterogeneity bring more challenges to its security. In order to attain cross-layer security control and deploy multi-layer combined security control strategy,an algorithm based on spectral clustering is proposed to divide nodes into several security domains. In the algorithm, through statistics about which sensor nodes are involved in history security events, correlations of sensor nodes to history events are calculated and then nodes are divided accordingly using spectral clustering method. The dipartition can serve strong support for deployment of security control strategy within domain and between different domains,thus improve overall security level of IoT.