標題: A Multi-Agent Intelligence Hybrid System Technique for Detection and Defense of DDoS Attacks
作者: Chen, Hsia-Hsiang
Huang, Shih-Kun
資訊工程學系
資訊技術服務中心
Department of Computer Science
Information Technology Services Center
關鍵字: distributed denial of service;meta-heuristic algorithm;swarm optimization algorithm
公開日期: 1-Jan-2015
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.
URI: http://dx.doi.org/10.3233/978-1-61499-484-8-125
http://hdl.handle.net/11536/150894
ISSN: 0922-6389
DOI: 10.3233/978-1-61499-484-8-125
期刊: INTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014)
Volume: 274
起始頁: 125
結束頁: 139
Appears in Collections:Conferences Paper