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https://www.researchgate.net/publication/245574461_Using_Support_Vector_Machine_to_Detect_Unknown_Computer_Viruses
Using Support Vector Machine to Detect Unknown Computer Viruses. ... A classification model using a support vector machine was built to predict …
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.309.8977&rep=rep1&type=pdf
decisions and policies, such as disconnecting a single computer or a cluster, can then be implemented. The goal of this study is to assess the viability of employing support vector machines (SVM) in an individual computer host to detect unknown worms based on their behavior (measurements), and examine whether selective sampling can
https://www.scientific.net/AMR.187.625
we present a virus detection system based on the D-S theory of evidence, in which the dynamic and static analysis methods are combined. The detection engine applies two types of classifier, support vector amchine and probabilistic neural network to detect the virus. For SVM classifier, we extract the feature vector by monitoring the samples.Author: Chun Yu Miao, Li Na Chen
https://www.researchgate.net/publication/282848304_A_Novel_Approach_for_Malware_Detection_based_on_Evolutionary_Strategy
A Novel Approach for Malware Detection based on Evolutionary Strategy. ... Computer Viruses,” i n International Journal of ... Using Support Vector Machine to Detect Unknown Computer Viruses.
http://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1409&context=etd_projects
San Jose State University SJSU ScholarWorks Master's Projects Master's Theses and Graduate Research Spring 5-26-2015 Support Vector Machines and Metamorphic
https://thesai.org/Downloads/Volume7No1/Paper_18-Detection_of_Malware_and_Malicious_Executables.pdf
Detection of Malware and Malicious Executables Using E-Birch Algorithm Dr. Ashit Kumar Dutta ... Support Vector Machine to Detect Unknown Computer Viruses," ... 2006. Detection of Malware and Malicious Executables Using E-Birch Algorithm ...
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