中南民族大学学报（自然科学版）2025，Vol.44Issue(5)：647-653,7.DOI:10.20056/j.cnki.ZNMDZK.20250510
命名数据网络中基于WEASEL算法的协同Interest包泛洪攻击检测方法
WEASEL-based method to detect against Collusive Interest Flooding Attack in Named Data Network
摘要
Abstract
Interest Flooding Attack(IFA)is a typical distributed denial-of-service attack in Named Data Network(NDN),and Collusive Interest Flooding Attack(CIFA)changes the attack mode on the basis of IFA and is assisted by co-producers,which is more stealthy and harmful than IFA.Based on the idea of time series classification,a CIFA detection method based on WEASEL algorithm is proposed,which detects CIFA by predicting and classifying network traffic time series.The simulation results show that the proposed method can effectively detect CIFA and has good results in false alarm rate and missed alarm rate.关键词
命名数据网络/协同兴趣包泛洪攻击/WEASEL算法/时间序列分类Key words
Named Data Network/Collusive Interest Flooding Attack/WEASEL algorithm/time series classification分类
计算机与自动化引用本文复制引用
邢光林,黄英..命名数据网络中基于WEASEL算法的协同Interest包泛洪攻击检测方法[J].中南民族大学学报（自然科学版）,2025,44(5):647-653,7.基金项目
国家自然科学基金资助项目(62372479) （62372479）
