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» Detecting New Forms of Network Intrusion Using Genetic Progr...
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GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 9 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
AI
2008
Springer
14 years 2 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
TEC
2002
166views more  TEC 2002»
13 years 7 months ago
An artificial immune system architecture for computer security applications
With increased global interconnectivity, reliance on e-commerce, network services, and Internet communication, computer security has become a necessity. Organizations must protect ...
Paul K. Harmer, Paul D. Williams, Gregg H. Gunsch,...
RAID
1999
Springer
14 years 3 days ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 1 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...