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» Utilizing Neural Networks For Effective Intrusion Detection
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AINA
2004
IEEE
13 years 11 months ago
Online Training of SVMs for Real-time Intrusion Detection
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...
Zonghua Zhang, Hong Shen
WCNC
2008
IEEE
14 years 1 months ago
A Mechanism Design-Based Multi-Leader Election Scheme for Intrusion Detection in MANET
—In this paper, we study the election of multiple leaders for intrusion detection in the presence of selfish nodes in mobile ad hoc networks (MANETs). To balance the resource co...
Noman Mohammed, Hadi Otrok, Lingyu Wang, Mourad De...
COMCOM
2008
120views more  COMCOM 2008»
13 years 7 months ago
Game theoretic models for detecting network intrusions
In this paper, we study using game theory the problem of detecting intrusions in wired infrastructure networks. Detection is accomplished by sampling a subset of the transmitted p...
Hadi Otrok, Mona Mehrandish, Chadi Assi, Mourad De...
MOBIHOC
2010
ACM
13 years 5 months ago
The intrusion detection in mobile sensor network
Intrusion detection is an important problem in sensor networks. Prior works in static sensor environments show that constructing sensor barriers with random sensor deployment can ...
Gabriel Yik Keung, Bo Li, Qian Zhang
DSN
2005
IEEE
14 years 1 months ago
ADEPTS: Adaptive Intrusion Response Using Attack Graphs in an E-Commerce Environment
Distributed systems with multiple interacting services, such as distributed e-commerce systems, are suitable targets for malicious attacks because of the potential financial impac...
Bingrui Foo, Yu-Sung Wu, Yu-Chun Mao, Saurabh Bagc...