计算机技术与发展2017，Vol.27Issue(7)：96-100,5.DOI:10.3969/j.issn.1673-629X.2017.07.023
基于互联网的物理对象感知方法研究
Research on Physical Objects Discovery Method Based on Internet
摘要
Abstract
With the rapid development of Internet technology,IoT technology also develops quickly.Due to the more connectivity and interactivity of network between physical objects which are faced increasing security threats.The physical object discovering works and security threats urgently need to be solved in academia and industry,and physical object discovery methods provide research condition for network security.Through the comparison and analysis of the existing typical physical object discovering system,a discovering method based on BGP Nearest Neighbor First has been proposed,which is intended to solve the problems in present system.At the same time,by studying the communication protocol and sensing strategy in the network,another effective physical object recognition method based on device network feature classification has been put forward.Compared with traditional method,these methods have achieved high accuracy and efficiency in IP generation,target device discrimination and specific network protocol recognition,which have made up for the deficiencies of existing tools.To a certain extent it provides the possibility of research for future global network analysis.关键词
物理对象/感知/布隆过滤器/支持向量机/DNP3协议Key words
physical object/sensing/Bloom Filter/SVM/DNP3 Protocol分类
信息技术与安全科学引用本文复制引用
张毅,杜秀春,孙勤..基于互联网的物理对象感知方法研究[J].计算机技术与发展,2017,27(7):96-100,5.基金项目
国家自然科学基金资助项目(61572514) （61572514）
