面向医疗物联网的一种行为规则入侵检测方法  

A New Approach to Intrusion Detection Based on Behavior Rules for Medical Internet of Things

作　　者：罗世亮[1,2] 程良伦[1] 任斌[3] 

机构地区：[1]广东工业大学,广州510006 [2]赣南师范学院,赣州341000 [3]东莞理工学院,东莞523808

出　　处：《科学技术与工程》2014年第5期86-91,共6页Science Technology and Engineering

基　　金：国家科技支撑计划项目(2012BAF11B04-5);国家自然科学基金重点项目(U2012A002D01);国家基金广东省联合基金重点项目(U0935002);广东省自然科学基金团队项目(8351009001000002)资助

摘　　要：物理世界的复杂性和多样性,给医疗物联网系统的安全检测带来了困难。为了解决该问题,研究了恶意攻击行为对检测行为的影响,提出了一种行为规则的入侵检测方法,可应用于医疗物联网系统。实验验证:与其它方法相比,检测率更高、生存周期更长、能量消耗更低,能够应对复杂攻击和隐蔽攻击,保障医疗物联网系统的安全性。The security issue of the medical internet of things is very important.However the complexity and diversity of the physical world make it difficult to do safety detection.To solve this problem better,the influence of the malicious attack on detection behavior was studied and a behavior-rule based intrusion detection approach was presented,which could be applied to the medical internet of things.Experimental results show that this method is better than other methods reported in the literature in terms of detection rate,life cycle and energy consumption.It can deal with the complex attack and the concealed attack,so as to guarantee the security of the medical internet of things.

关 键 词：医疗物联网 入侵检测算法 故障诊断 行为规则 系统安全 

分 类 号：TP915.2[自动化与计算机技术]