新的传感器网络假冒攻击源检测方案

针对传感器网络假冒攻击，提出了一种新的假冒攻击源检测方案。新方案利用基于身份的签名技术，结合节点报警规则，构造了基于邻居节点相互认证的单个试图假冒攻击源测定算法，以此为基础，扩充为针对局部区域内的多个试图假冒攻击源测定算法。新方案也提出了成功假冒攻击源测定算法，其中采用了汇聚节点监控排查恶意区域、普通节点认证转发报警消息机制。新方案适用于假冒攻击状况复杂、网络安全性要求较高的环境。仿真实验证实了新方案在成功检测方面的有效性。

Novel masquerader detection scheme in sensor networks

Concerning the masquerader attacks in the sensor network, a new masquerader detection scheme was proposed. By means of the identity-based signature technique and node alarming rules, a single masquerader detection algorithm was constructed, which was based on the neighbor mutual authentication. Moreover, an algorithm to detect multiple masqueraders was acquired from this. In addition, the succeeded masquerader detection algorithm was proposed in this scheme in which the sink nodes monitor and examine the malicious region, and the normal nodes identify and transmit the alert messages. The proposal scheme is applicable to complicated masquerade attack and high network security demanding environment. The simulation experiments show the effectiveness in detection of the proposed scheme.