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» Utilizing Neural Networks For Effective Intrusion Detection
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COMCOM
2008
145views more  COMCOM 2008»
13 years 7 months ago
A game-theoretic intrusion detection model for mobile ad hoc networks
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance o...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
WOWMOM
2005
ACM
201views Multimedia» more  WOWMOM 2005»
14 years 1 months ago
Real-Time Intrusion Detection for Ad Hoc Networks
A mobile ad hoc network is a collection of nodes that is connected through a wireless medium forming rapidly changing topologies. The widely accepted existing routing protocols de...
Ioanna Stamouli, Patroklos G. Argyroudis, Hitesh T...
DSN
2006
IEEE
14 years 1 months ago
VoIP Intrusion Detection Through Interacting Protocol State Machines
Being a fast-growing Internet application, Voice over Internet Protocol (VoIP) shares the network resources with the regular Internet traffic, and is susceptible to the existing ...
Hemant Sengar, Duminda Wijesekera, Haining Wang, S...
CCS
2009
ACM
14 years 8 months ago
Intrusion response cost assessment methodology
In this paper we present a structured methodology for evaluating cost of responses based on three factors: the response operational cost associated with the daily maintenance of t...
Chris Strasburg, Natalia Stakhanova, Samik Basu, J...
GLOBECOM
2007
IEEE
14 years 1 months ago
Aggregated Bloom Filters for Intrusion Detection and Prevention Hardware
—Bloom Filters (BFs) are fundamental building blocks in various network security applications, where packets from high-speed links are processed using state-of-the-art hardwareba...
N. Sertac Artan, Kaustubh Sinkar, Jalpa Patel, H. ...