A Data Mining Classification Approach for Behavioral Malware Detection
Joint Authors
Norouzi, Monire
Souri, Alireza
Samad Zamini, Majid
Source
Journal of Computer Networks and Communications
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Data mining techniques have numerous applications in malware detection.
Classification method is one of the most popular data mining techniques.
In this paper we present a data mining classification approach to detect malware behavior.
We proposed different classification methods in order to detect malware based on the feature and behavior of each malware.
A dynamic analysis method has been presented for identifying the malware features.
A suggested program has been presented for converting a malware behavior executive history XML file to a suitable WEKA tool input.
To illustrate the performance efficiency as well as training data and test, we apply the proposed approaches to a real case study data set using WEKA tool.
The evaluation results demonstrated the availability of the proposed data mining approach.
Also our proposed data mining approach is more efficient for detecting malware and behavioral classification of malware can be useful to detect malware in a behavioral antivirus.
American Psychological Association (APA)
Norouzi, Monire& Souri, Alireza& Samad Zamini, Majid. 2016. A Data Mining Classification Approach for Behavioral Malware Detection. Journal of Computer Networks and Communications،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107859
Modern Language Association (MLA)
Norouzi, Monire…[et al.]. A Data Mining Classification Approach for Behavioral Malware Detection. Journal of Computer Networks and Communications No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1107859
American Medical Association (AMA)
Norouzi, Monire& Souri, Alireza& Samad Zamini, Majid. A Data Mining Classification Approach for Behavioral Malware Detection. Journal of Computer Networks and Communications. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107859
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107859