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» Intrusion Detection with Neural Networks
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ACSAC
1998
IEEE
13 years 9 months ago
Detecting Anomalous and Unknown Intrusions Against Programs
The ubiquity of the Internet connection to desktops has been both boon to business as well as cause for concern for the security of digital assets that may be unknowingly exposed....
Anup K. Gosh, James Wanken, Frank Charron
ICANN
2005
Springer
13 years 11 months ago
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Emilio Corchado, Álvaro Herrero, José...
CCGRID
2006
IEEE
13 years 11 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
ICC
2007
IEEE
128views Communications» more  ICC 2007»
13 years 5 months ago
The Power of Temporal Pattern Processing in Anomaly Intrusion Detection
Abstract— A clear deficiency in most of todays Anomaly Intrusion Detection Systems (AIDS) is their inability to distinguish between a new form of legitimate normal behavior and ...
Mohammad Al-Subaie, Mohammad Zulkernine
IEAAIE
2004
Springer
13 years 10 months ago
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach
This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificia...
Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham