基于滑动窗口置信度评估算法的无线传感器网络异常检测研究  

Research on Anomaly Detection in Wireless Sensor Networks Based on Sliding Window Confidence Evaluation Algorithm

作　　者：陈虹桥 CHEN Hongqiao(Jilin University of Finance and Economics,Changchun Jilin 130117,China)

机构地区：[1]吉林财经大学,吉林长春130117

出　　处：《信息与电脑》2024年第15期54-56,共3页Information & Computer

摘　　要：本文提出了一种基于滑动窗口置信度评估算法的无线传感器异常数据检测方法。该方法通过提取数据特征并应用置信度评估模型来识别无线传感器发送的异常数据点,研究通过在数据集上的实验,验证了该滑动窗口置信度方法在准确率、召回率和F1分数等方面具有明显的优越性。This paper proposes a method for detecting anomalous data from wireless sensors based on a sliding window confidence assessment algorithm.The method identifies anomalous data points sent by wireless sensors by extracting data features and applying a confidence assessment model,and through experiments on the dataset,it is verified that the sliding-window confidence method has obvious superiority in terms of accuracy,recall,and F1 score.

关 键 词：无线传感器网络 异常检测 滑动窗口 置信度评估 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]