Mobile botnet detection model based on retrospective pattern recognition
The dynamic nature of Botnets along with their sophisticated characteristics makes them one of the biggest threats to cyber security. Recently, the HTTP protocol is widely used by Botmaster as they can easily hide their command and control traffic amongst the benign web traffic. This paper proposes...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
Science and Engineering Research Support Society
2016
|
| Subjects: |
| _version_ | 1796862221947502592 |
|---|---|
| author | Eslahi, M. Yousefi, M. Naseri, M. V. Yussof, Y. M. Tahir, N. M. Hashim, H. |
| author_facet | Eslahi, M. Yousefi, M. Naseri, M. V. Yussof, Y. M. Tahir, N. M. Hashim, H. |
| author_sort | Eslahi, M. |
| collection | ePrints |
| description | The dynamic nature of Botnets along with their sophisticated characteristics makes them one of the biggest threats to cyber security. Recently, the HTTP protocol is widely used by Botmaster as they can easily hide their command and control traffic amongst the benign web traffic. This paper proposes a Neural Network based model to detect mobile HTTP Botnets with random intervals independent of the packet payload, commands content, and encryption complexity of Bot communications. The experimental test results that were conducted on existing datasets and real world Bot samples show that the proposed method is able to detect mobile HTTP Botnets with high accuracy. |
| first_indexed | 2024-03-05T20:08:19Z |
| format | Article |
| id | utm.eprints-74561 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:08:19Z |
| publishDate | 2016 |
| publisher | Science and Engineering Research Support Society |
| record_format | dspace |
| spelling | utm.eprints-745612017-11-29T23:58:38Z http://eprints.utm.my/74561/ Mobile botnet detection model based on retrospective pattern recognition Eslahi, M. Yousefi, M. Naseri, M. V. Yussof, Y. M. Tahir, N. M. Hashim, H. QA75 Electronic computers. Computer science The dynamic nature of Botnets along with their sophisticated characteristics makes them one of the biggest threats to cyber security. Recently, the HTTP protocol is widely used by Botmaster as they can easily hide their command and control traffic amongst the benign web traffic. This paper proposes a Neural Network based model to detect mobile HTTP Botnets with random intervals independent of the packet payload, commands content, and encryption complexity of Bot communications. The experimental test results that were conducted on existing datasets and real world Bot samples show that the proposed method is able to detect mobile HTTP Botnets with high accuracy. Science and Engineering Research Support Society 2016 Article PeerReviewed Eslahi, M. and Yousefi, M. and Naseri, M. V. and Yussof, Y. M. and Tahir, N. M. and Hashim, H. (2016) Mobile botnet detection model based on retrospective pattern recognition. International Journal of Security and its Applications, 10 (9). pp. 39-54. ISSN 1738-9976 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992073868&doi=10.14257%2fijsia.2016.10.9.05&partnerID=40&md5=a3af90bfdfc2888cac26e2fc943f9c03 |
| spellingShingle | QA75 Electronic computers. Computer science Eslahi, M. Yousefi, M. Naseri, M. V. Yussof, Y. M. Tahir, N. M. Hashim, H. Mobile botnet detection model based on retrospective pattern recognition |
| title | Mobile botnet detection model based on retrospective pattern recognition |
| title_full | Mobile botnet detection model based on retrospective pattern recognition |
| title_fullStr | Mobile botnet detection model based on retrospective pattern recognition |
| title_full_unstemmed | Mobile botnet detection model based on retrospective pattern recognition |
| title_short | Mobile botnet detection model based on retrospective pattern recognition |
| title_sort | mobile botnet detection model based on retrospective pattern recognition |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT eslahim mobilebotnetdetectionmodelbasedonretrospectivepatternrecognition AT yousefim mobilebotnetdetectionmodelbasedonretrospectivepatternrecognition AT naserimv mobilebotnetdetectionmodelbasedonretrospectivepatternrecognition AT yussofym mobilebotnetdetectionmodelbasedonretrospectivepatternrecognition AT tahirnm mobilebotnetdetectionmodelbasedonretrospectivepatternrecognition AT hashimh mobilebotnetdetectionmodelbasedonretrospectivepatternrecognition |