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» Utilizing Neural Networks For Effective Intrusion Detection
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AICCSA
2005
IEEE
105views Hardware» more  AICCSA 2005»
14 years 1 months ago
Multivariate statistical analysis for network attacks detection
Detection and self-protection against viruses, worms, and network attacks is urgently needed to protect network systems and their applications from catastrophic failures. Once a n...
Guangzhi Qu, Salim Hariri, Mazin S. Yousif
CORR
2010
Springer
432views Education» more  CORR 2010»
13 years 7 months ago
A Distributed Trust Management Framework for Detecting Malicious Packet Dropping Nodes in a Mobile Ad Hoc Network
In a multi-hop mobile ad hoc network (MANET) mobile nodes communicate with each other forming a cooperative radio network. Security remains a major challenge for these networks du...
Jaydip Sen
PRL
2008
81views more  PRL 2008»
13 years 7 months ago
Selecting and constructing features using grammatical evolution
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos D...
SWARM
2010
SPRINGER
154views Optimization» more  SWARM 2010»
13 years 5 months ago
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
Wei Wang, Pengtao Zhang, Ying Tan
ACMSE
2005
ACM
13 years 9 months ago
Simulating application level self-similar network traffic using hybrid heavy-tailed distributions
Many networking researches depend on an accurate simulation of network traffic. For example, Intrusion Detection Systems generally require tuning to be effective in each new envir...
Song Luo, Gerald A. Marin