NDLI: Model-Based Evaluation of Distributed Intrusion Detection Protocols for Mobile Group Communication Systems

Content Provider	Springer Nature Link
Author	Cho, Jin Hee Chen, Ing Ray
Copyright Year	2010
Abstract	Under highly security vulnerable, resource-restricted, and dynamically changing mobile ad hoc environments, it is critical to be able to maximize the system lifetime while bounding the communication response time for mission-oriented mobile groups. In this paper, we analyze the tradeoff of security versus performance for distributed intrusion detection protocols employed in mobile group communication systems (GCSs). We investigate a distributed voting-based intrusion detection protocol for GCSs in multi-hop mobile ad hoc networks and examine the effect of intrusion detection on system survivability measured by the mean time to security failure (MTTSF) metric and efficiency measured by the communication cost metric. We identify optimal design settings under which the MTTSF metric can be best traded off for the communication cost metric or vice versa. We conduct extensive simulation to validate analytical results obtained. This work provides a general model-based evaluation framework for developing and analyzing intrusion detection protocols that can dynamically adapt to changing attacker strengths with the goal of system lifetime optimization and/or communication cost minimization.
Starting Page	725
Ending Page	750
Page Count	26
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	60
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2010-04-18
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Model-based evaluation Intrusion detection Key management Group communication systems Mean time to security failure False positives False negatives Mobile ad hoc networks Signal, Image and Speech Processing Computer Communication Networks Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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