A Multi-Agent Intelligence Hybrid System Technique for Detection and Defense of DDoS Attacks
學年 103
學期 1
發表日期 2014-12-12
作品名稱 A Multi-Agent Intelligence Hybrid System Technique for Detection and Defense of DDoS Attacks
作品名稱（其他語言）
著者 Hsia-Hsiang Chen; Shih-Kun Huang
作品所屬單位
出版者
會議名稱 Inernational Computer Symposium 2014
會議地點 台中市，台灣
摘要 In the paper, we propose the distributed detection and identification multi-agent system (DDIMAS) framework that is the first attempt to apply in solving distributed denial of service (DDoS) problem. It includes three stages which are information heuristic rule, meta-heuristic algorithm and backward and forward search (BFS) rule, respectively. Moreover, the framework is a flexible architecture that can incorporate into other algorithms or rules to improve the overall performance. From the evaluation design, the experiment results show that our method is with higher detection rate and better accuracy than standard repositories. The proposed framework resolves issues in other swarm optimization algorithms and reveals that the performance of DDIMAS is better than existing methods and the adaptive meta-heuristic algorithm framework outperforms other methods for detecting DDoS attacks.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20141212~20141214
通訊作者
國別 TWN
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123455 )