Mobile botnet detection model based on retrospective pattern recognition

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

Saved in:
Bibliographic Details
Main Authors: Eslahi M., Yousefi M., Naseri M.V., Yussof Y.M., Tahir N.M., Hashim H.
Other Authors: 55639528700
Format: Article
Published: Science and Engineering Research Support Society 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
id my.uniten.dspace-22937
record_format dspace
spelling my.uniten.dspace-229372023-05-29T14:13:31Z Mobile botnet detection model based on retrospective pattern recognition Eslahi M. Yousefi M. Naseri M.V. Yussof Y.M. Tahir N.M. Hashim H. 55639528700 53985756300 56463729100 35093577700 56168849900 16021805400 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 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. � 2016 SERSC. Final 2023-05-29T06:13:31Z 2023-05-29T06:13:31Z 2016 Article 10.14257/ijsia.2016.10.9.05 2-s2.0-84992073868 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992073868&doi=10.14257%2fijsia.2016.10.9.05&partnerID=40&md5=a3af90bfdfc2888cac26e2fc943f9c03 https://irepository.uniten.edu.my/handle/123456789/22937 10 9 39 54 All Open Access, Bronze Science and Engineering Research Support Society Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description 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
author2 55639528700
author_facet 55639528700
Eslahi M.
Yousefi M.
Naseri M.V.
Yussof Y.M.
Tahir N.M.
Hashim H.
format Article
author Eslahi M.
Yousefi M.
Naseri M.V.
Yussof Y.M.
Tahir N.M.
Hashim H.
spellingShingle Eslahi M.
Yousefi M.
Naseri M.V.
Yussof Y.M.
Tahir N.M.
Hashim H.
Mobile botnet detection model based on retrospective pattern recognition
author_sort Eslahi M.
title Mobile botnet detection model based on retrospective pattern recognition
title_short 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_sort mobile botnet detection model based on retrospective pattern recognition
publisher Science and Engineering Research Support Society
publishDate 2023
_version_ 1806427860688175104