Invention Grant
US08776231B2 Unknown malcode detection using classifiers with optimal training sets
失效
未知的恶意代码检测使用具有最佳训练集的分类器
- Patent Title: Unknown malcode detection using classifiers with optimal training sets
- Patent Title (中): 未知的恶意代码检测使用具有最佳训练集的分类器
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Application No.: US12471529Application Date: 2009-05-26
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Publication No.: US08776231B2Publication Date: 2014-07-08
- Inventor: Robert Moskovitch , Yuval Elovici
- Applicant: Robert Moskovitch , Yuval Elovici
- Agency: Roach Brown McCarthy & Gruber, P.C.
- Agent Kevin D. McCarthy
- Priority: IL191744 20080527
- Main IPC: G06F21/00
- IPC: G06F21/00

Abstract:
A method for detecting unknown malicious code is provided. A data set is created, which is a collection of files that includes a first subset with malicious code and a second subset with benign code files, whereas the malicious and benign files are identified by an antivirus program. Subsequently, all files are parsed and a set of top features of all-n grams of the files is selected and reduced by using features selection methods. After determining the optimal number of features, they will be used as training and test sets.
Public/Granted literature
- US20090300765A1 UNKNOWN MALCODE DETECTION USING CLASSIFIERS WITH OPTIMAL TRAINING SETS Public/Granted day:2009-12-03
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