一种无线传感器网络中恶意行为的检测和预防技术  

Detection and Prevention of Malicious Behaviors in Wireless Sensor Networks

作　　者：徐小龙[1] 高仲合[2] 韩丽娟[1] 

机构地区：[1]曲阜师范大学实验教学中心,山东日照276826 [2]曲阜师范大学软件学院,山东日照276826

出　　处：《通信技术》2016年第3期340-345,共6页Communications Technology

摘　　要：入侵检测系统是应对网络攻击的一种常见手段。为了弥补入侵检测系统的弱点,提高检测效率,人们提出了多种方案。这里的主要目标是通过提供身份认证来阻止恶意行为,提出了动态随机口令产生与验证方法 DRPGAV(Dynamic Random Password Generation and Verification),在网络运行的每个阶段检测和预防恶意行为。一系列动态随机口令被自动产生并分配给网络用户,当用户要进行数据传输时,他们的口令将会被验证以检查是正常用户还是恶意用户。这种方法尤其适合无线传感器网络。仿真实验结果表明DRPGAV方法与现有的其它方法相比具有更好的性能。Intrusion detection system is a common method to deal with network attacks. In order to remedy the deficiency of intrusion detection system and improve detection efficiency, multiple solutions are suggested. This paper focuses its attention on the prevention of malicious behavior via providing identity authenti- cation. DRPGAV （ Dynamic Random Password Generation and Verification） method is proposed to detect and prevent malicious behavior at each stage of network operation. A series of dynamic random password is automatically generated and assigned to the network users, and when the users want to carry out their data transmission, their passwords would be verified to check whether these users are normal or malicious. This method is particularly suitable for wireless sensor networks. Simulation results show that the DRPGAV method enjoys much better performance as compared with other existing methods.

关 键 词：入侵检测 无线传感器网络 动态随机口令 网络攻击 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]