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dc.contributor.authorChen, Hsia-Hsiangen_US
dc.contributor.authorHuang, Shih-Kunen_US
dc.date.accessioned2019-04-02T06:04:33Z-
dc.date.available2019-04-02T06:04:33Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn0922-6389en_US
dc.identifier.urihttp://dx.doi.org/10.3233/978-1-61499-484-8-125en_US
dc.identifier.urihttp://hdl.handle.net/11536/150894-
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.subjectdistributed denial of serviceen_US
dc.subjectmeta-heuristic algorithmen_US
dc.subjectswarm optimization algorithmen_US
dc.titleA Multi-Agent Intelligence Hybrid System Technique for Detection and Defense of DDoS Attacksen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.3233/978-1-61499-484-8-125en_US
dc.identifier.journalINTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014)en_US
dc.citation.volume274en_US
dc.citation.spage125en_US
dc.citation.epage139en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department資訊技術服務中心zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInformation Technology Services Centeren_US
dc.identifier.wosnumberWOS:000454394100014en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper