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
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Complex networks, HTTP, Hypertext systems, Mobile security, Pattern recognition, Botnet detections, Botnets, BYOD, Command and control, Experimental test, Network-based modeling, Packet payloads, Traffic analysis, Malware |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Advanced Informatics School |
| ID Code: | 74561 |
| Deposited By: | Fazli Masari |
| Deposited On: | 29 Nov 2017 23:58 |
| Last Modified: | 29 Nov 2017 23:58 |
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