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» Network Intrusion Detection Using Genetic Clustering
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BMCBI
2008
158views more  BMCBI 2008»
14 years 12 months ago
VarDetect: a nucleotide sequence variation exploratory tool
Background: Single nucleotide polymorphisms (SNPs) are the most commonly studied units of genetic variation. The discovery of such variation may help to identify causative gene mu...
Chumpol Ngamphiw, Supasak Kulawonganunchai, Anunch...
GECCO
2009
Springer
138views Optimization» more  GECCO 2009»
15 years 6 months ago
IMAD: in-execution malware analysis and detection
The sophistication of computer malware is becoming a serious threat to the information technology infrastructure, which is the backbone of modern e-commerce systems. We, therefore...
Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Fa...
ICSE
2008
IEEE-ACM
15 years 11 months ago
LISABETH: automated content-based signature generator for zero-day polymorphic worms
Modern worms can spread so quickly that any countermeasure based on human reaction might not be fast enough. Recent research has focused on devising algorithms to automatically pr...
Lorenzo Cavallaro, Andrea Lanzi, Luca Mayer, Matti...
ICCS
2003
Springer
15 years 5 months ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
MCS
2010
Springer
15 years 1 months ago
Multiple Classifier Systems under Attack
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
Battista Biggio, Giorgio Fumera, Fabio Roli