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» A Linear Genetic Programming Approach to Intrusion Detection
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ACSAC
1998
IEEE
15 years 2 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
ISI
2008
Springer
14 years 9 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham
ACSAC
2000
IEEE
15 years 2 months ago
Two State-based Approaches to Program-based Anomaly Detection
This paper describes two recently developed intrusion detection algorithms, and gives experimental results on their performance. The algorithms detect anomalies in execution audit...
Christoph C. Michael, Anup K. Ghosh
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
14 years 11 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf
ISCI
1998
193views more  ISCI 1998»
14 years 9 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza