NDLI: Heuristic Detection Network; An Adaptive DDoS Control

Content Provider	IEEE Xplore Digital Library
Author	Lei Liu
Copyright Year	2006
Description	Author affiliation: Grad. Sch. of Comput. & Inf. Sci., Nova Southeastern Univ., Fort Lauderdale, FL (Lei Liu)
Abstract	Distributed denial of service (DDoS) is a crucial problem of dynamic and stochastic task environment. Most existing DDoS studies are designated for the fixed infrastructure networks. In practice, the majority of the solutions have adopted centralized defensive design and implementation strategies. In this research, a means of adaptation to DDoS detection and control is proposed as a key entity of the study with an generic event driven model for attack tree discovery and adaptive flood control algorithms without transport layer dependency. The proposed method is discussed as a Q function based learning detection. In addition, a scalable DDoS detection framework is advocated. The design and implementation of the proof of concept are deliberated.
Starting Page	1
Ending Page	8
File Size	582216
Page Count	8
File Format	PDF
ISBN	1424408008
DOI	10.1109/ICCT.2006.341708
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive systems Programmable control Adaptive control Peer to peer computing Computer crime Intrusion detection Pervasive computing Centralized control Degradation Processor scheduling Learning Security Distributed Denial of Service Add Hoc Peer-to-Peer Networks Instrusion Dectecion Attack Tree Flood Control Q function
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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