抵御恶意攻击的无线传感网络安全梯度下降安全与牛顿迭代安全定位算法  

Gradient Descent Security and Newton Iteration Secure Location Algorithm for Wireless Sensor Networks Against Malicious Attacks

作　　者：王俊海 Wang Junhai(Ya'an Polytechnic College,Ya'an,China)

机构地区：[1]雅安职业技术学院,四川雅安

出　　处：《科学技术创新》2024年第11期92-95,共4页Scientific and Technological Innovation

基　　金：“蜂巢大数据技术应用工作室”+雅安职业技术学院首批高层次人才科研工作室+工作室编号:Yzygcky202213。

摘　　要：本文主要研究了基于梯度下降和基于牛顿迭代两种安全定位算法,在无线传感网络抵御恶意攻击中的应用策略。基于梯度下降的安全定位算法,采用梯度下降法求最小二乘解,使估计值接近真实值,然后进行异常检测,剔除检测到的恶意锚节点,从而提高定位精度,保证网络安全;基于牛顿迭代的安全定位算法,采用牛顿迭代法缩小定位误差,然后使用差分自适应策略进行异常检测,滤除恶意锚节点后提高定位精度。在此基础上设计了对比实验,将RSSI测量值与两种算法下的仿真值进行对比。结果表明两种安全定位算法都能较为准确地定位节点,基于牛顿迭代的安全定位算法定位精度更高,在无线传感网络抵御恶意攻击方面有更好的应用效果。This paper mainly studies the application strategies of two secure location algorithms based on gradient descent and Newton iteration in wireless sensor networks to resist malicious attacks.Based on gradient descent,the gradient descent method is used to find the least square solution,so that the estimated value is close to the real value,and then the anomaly detection is carried out to eliminate the detected malicious anchor nodes,so as to improve the positioning accuracy and ensure the network security.Based on Newton iteration,Newton iteration method is used to reduce the location error,and then differential adaptive strategy is used to detect the anomaly,and the positioning accuracy is improved after filtering out the malicious anchor nodes.On this basis,a comparison experiment is designed to compare the measured values of RSSI with the simulated values under the two algorithms.The results show that the two secure location algorithms can locate nodes more accurately,and the secure location algorithm based on Newton iteration has higher positioning accuracy,and has better application effect in wireless sensor networks to resist malicious attacks.

关 键 词：无线传感网络 梯度下降算法 牛顿迭代算法 节点定位 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]