Document Details

Document Type : Article In Conference 
Document Title :
A Survey of Data Mining Techniques for Malware Detection using File Features
مسح البيانات التعدين تقنيات لاكتشاف البرمجيات الخبيثة باستخدام ملف ميزات
 
Subject : Survey, data mining, malware detection 
Document Language : English 
Abstract : This paper presents a survey of data mining techniques for malware detection using file features. The techniques are categorized based upon a three tier hierarchy that includes file features, analysis type and detection type. File features are the features extracted from binary programs, analysis type is either static or dynamic, and the detection type is borrowed from intrusion detection as either misuse or anomaly detection. It provides the reader with the major advancement in the malware research using data mining on file features and categorizes the surveyed work based upon the above stated hierarchy. This served as the major contribution of this paper. 
Conference Name : Annual Southeast Regional Conference 
Duration : From : 28/3/1429 AH - To : 28/3/1429 AH
From : 28/3/2008 AD - To : 28/3/2008 AD 
Publishing Year : 1429 AH
2008 AD 
Number Of Pages : 2 
Article Type : Article 
Conference Place : USA 
Organizing Body : ACM 
Added Date : Wednesday, February 16, 2011 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
معظم صديقيSiddiqui, Muazzam ResearcherDoctoratemaasiddiqui@kau.edu.sa

Files

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 29007.docx docx 

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