Android Botnets: A proof-of-concept using hybrid analysis approach

Karim, Ahmad and Chang, Victor and Ahmad Firdaus, Zainal Abidin (2020) Android Botnets: A proof-of-concept using hybrid analysis approach. Journal of Organizational and End User Computing (JOEUC), 32 (3). pp. 1-18. ISSN 1546-5012. (Published)

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Mobile botnets are gaining popularity with the expressive demand of smartphone technologies. Similarly, the majority of mobile botnets are built on a popular open source OS, e.g., Android. A mobile botnet is a network of interconnected smartphone devices intended to expand malicious activities, for example; spam generation, remote access, information theft, etc., on a wide scale. To avoid this growing hazard, various approaches are proposed to detect, highlight and mark mobile malware applications using either static or dynamic analysis. However, few approaches in the literature are discussing mobile botnet in particular. In this article, the authors have proposed a hybrid analysis framework combining static and dynamic analysis as a proof of concept, to highlight and confirm botnet phenomena in Android-based mobile applications. The validation results affirm that machine learning approaches can classify the hybrid analysis model with high accuracy rate (98%) than classifying static or dynamic individually.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Botnet detection, Hybrid analysis, Mobile Botnet, Mobile malware
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computing
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 09 May 2022 08:25
Last Modified: 09 May 2022 08:25
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