A Data Mining Classification Approach for Behavioral Malware Detection
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...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2016/8069672 |
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| _version_ | 1832550703130738688 |
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| author | Monire Norouzi Alireza Souri Majid Samad Zamini |
| author_facet | Monire Norouzi Alireza Souri Majid Samad Zamini |
| author_sort | Monire Norouzi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7821f0ecf8f64be6b873d56f41d3b05d |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-7821f0ecf8f64be6b873d56f41d3b05d2025-02-03T06:06:08ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2016-01-01201610.1155/2016/80696728069672A Data Mining Classification Approach for Behavioral Malware DetectionMonire Norouzi0Alireza Souri1Majid Samad Zamini2Young Researchers and Elite Club, Islamic Azad University, Hadishahr Branch, Hadishahr, IranDepartment of Computer Engineering, Islamic Azad University, Hadishahr Branch, Hadishahr, IranDepartment of Computer Engineering, Islamic Azad University, Sardroud Branch, Sardroud, IranData 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.http://dx.doi.org/10.1155/2016/8069672 |
| spellingShingle | Monire Norouzi Alireza Souri Majid Samad Zamini A Data Mining Classification Approach for Behavioral Malware Detection Journal of Computer Networks and Communications |
| title | A Data Mining Classification Approach for Behavioral Malware Detection |
| title_full | A Data Mining Classification Approach for Behavioral Malware Detection |
| title_fullStr | A Data Mining Classification Approach for Behavioral Malware Detection |
| title_full_unstemmed | A Data Mining Classification Approach for Behavioral Malware Detection |
| title_short | A Data Mining Classification Approach for Behavioral Malware Detection |
| title_sort | data mining classification approach for behavioral malware detection |
| url | http://dx.doi.org/10.1155/2016/8069672 |
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