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» Detecting New Forms of Network Intrusion Using Genetic Progr...
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RAID
2009
Springer
15 years 9 months ago
Using Formal Grammar and Genetic Operators to Evolve Malware
In this paper, we leverage the concepts of formal grammar and genetic operators to evolve malware. As a case study, we take COM infectors and design their formal grammar with produ...
Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Mu...
144
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EVOW
2010
Springer
15 years 9 months ago
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions
DEODHAR, SUSHAMNA DEODHAR. Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology. (Under the direction of Dr. Alison Motsinger-Re...
Sushamna Deodhar, Alison A. Motsinger-Reif
ICPR
2010
IEEE
15 years 1 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
150
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CCS
2007
ACM
15 years 6 months ago
Analyzing network traffic to detect self-decrypting exploit code
Remotely-launched software exploits are a common way for attackers to intrude into vulnerable computer systems. As detection techniques improve, remote exploitation techniques are...
Qinghua Zhang, Douglas S. Reeves, Peng Ning, S. Pu...
110
Voted
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 9 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld