传感网络数据链路层上碰撞攻击检测模型仿真

Simulation of Collision Attack Detection Modelon Data Link Layer of Sensor Network

在传感器网络安全问题的研究中,对传感网络碰撞攻击进行准确检测是保证网络安全的重要手段。传感网络是多层通信网络,在通信过程中,数据存在频繁跨层通信过程,很容易出现不同数据在同层通信的冲突,形成"碰撞"攻击。传统的攻击检测对碰撞攻击的检测存在一个难点,检测模型无法在同层通信网络中对碰撞攻击归类,不同层的攻击确认阀值不同,导致检测效果不正确。提出一种传感网络数据链路层上碰撞攻击检测优化模型,对模糊的分层攻击信号以分数幂形式的形式进行傅里叶变换,将高阶累积量切片因子引入到传感网络数据链路层进行碰撞攻击测试,通过去除微弱碰撞攻击的干扰噪声信号的方式,增强模糊网络信号碰撞攻击检测的准确率。利用敏感性数据挖掘方法,实现检测传感网络数据链路层上碰撞攻击的模糊分层信号。仿真结果表明,改进方法可以提高传感网络检测的准确度。

An optimization model for collision attack detection on data link layer of the sensor network was proposed. The Fourier transform was carried out with the fuzzy hierarchical attack signals in form of fractional power. The slice factor of high-order cumulants was introduced to the data link layer of sensor network to make collision attack detection, and through removing the interference noise signals of weak collision attack, the accuracy of collision attack detection of fuzzy network signal was enhanced. Using the sensitive data mining method, the fuzzy hierarchical signal of collision attack detection in data link layer of sensor network was achieved. Simulation experiments show that the improved method can increase the detection accuracy of sensor networks.