NDLI: Control theoretic approach to intrusion detection using a distributed hidden Markov model

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Front cover - IEEE Wireless Communications - Front cover

Table of contents

Secure ad hoc networks [Message from the Editor-in-Chief]

Scanning the literature

MAC layer misbehavior in wireless networks: challenges and solutions

Selfishness in mesh networks: wired multihop MANETs

Control theoretic approach to intrusion detection using a distributed hidden Markov model

Anomaly detection in wireless sensor networks

Predeployed secure key distribution mechanisms in sensor networks: current state-of-the-art and a new approach using time information

CRUISE research activities toward ubiquitous intelligent sensing environments

Security in wireless sensor networks

Exploiting edge capability for wireless sensor networking

Building multicluster 802.15.4 networks: issues and open problems

Self-correcting time synchronization using reference broadcast in wireless sensor network

Designing VoIP session management over interworked WLAN-3G networks

An overview of IEEE 802.21: media-independent handover services

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Control theoretic approach to intrusion detection using a distributed hidden Markov model

Content Provider	IEEE Xplore Digital Library
Author	Khanna, R. Huaping Liu
Copyright Year	2002
Abstract	Cooperative ad hoc wireless networks are more vulnerable to malicious attacks than traditional wired networks. Many of these attacks are silent in nature and cannot be detected by conventional intrusion detection methods such as traffic monitoring, port scanning, or protocol violations. These sophisticated attacks operate under the threshold boundaries during an intrusion attempt and can only be identified by profiling the complete system activity in relation to normal behavior. In this article we discuss a control-theoretic hidden Markov model strategy for intrusion detection using distributed observation across multiple nodes. This model comprises a distributed HMM engine that executes in a randomly selected monitor node and functions as a part of the feedback control engine. This drives the defensive response based on hysteresis to reduce the frequency of false positives, thereby avoiding inappropriate ad hoc responses.
File Size	159826
File Format	PDF
ISSN	15361284
Volume Number	15
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion detection Hidden Markov models Monitoring Engines Wireless networks Communication system traffic control Traffic control Protocols Feedback control Hysteresis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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