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CISISSPAIN
2011
13 years 1 months ago
Testing Ensembles for Intrusion Detection: On the Identification of Mutated Network Scans
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...
Silvia González, Javier Sedano, Álva...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
14 years 2 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ITNG
2010
IEEE
13 years 8 months ago
Scalable Intrusion Detection with Recurrent Neural Networks
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
Longy O. Anyanwu, Jared Keengwe, Gladys A. Arome
CF
2008
ACM
13 years 12 months ago
Exact multi-pattern string matching on the cell/b.e. processor
String searching is the computationally intensive kernel of many security and network applications like search engines, intrusion detection systems, virus scanners and spam filter...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
IEAAIE
2004
Springer
14 years 3 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