Mobile Botnet Attacks: A Thematic Taxonomy

2014 ◽  
pp. 153-164 ◽  
Author(s):  
Ahmad Karim ◽  
Syed Adeel Ali Shah ◽  
Rosli Salleh
Keyword(s):  
Mobile Botnet

Android Botnets

2021 ◽  
pp. 75-92
Author(s):  
Ahmad Karim ◽  
Victor Chang ◽  
Ahmad Firdaus
Keyword(s):  
Dynamic Analysis ◽  
High Accuracy ◽  
Remote Access ◽  
Learning Approaches ◽  
Analysis Model ◽  
Hybrid Analysis ◽  
Static And Dynamic Analysis ◽  
Mobile Botnet ◽  
Wide Scale ◽  
Access Information

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.

A data collection approach for Mobile Botnet analysis and detection

2014 ◽  
Author(s):  
Meisam Eslahi ◽  
Mohammad Reza Rostami ◽  
H. Hashim ◽  
N. M. Tahir ◽  
Maryam Var Naseri
Keyword(s):  
Data Collection ◽  
Mobile Botnet ◽  
Data Collection Approach

scholarly journals XSS MBot: Mobile Botnet for Stealthy DDoS Attacks

2019 ◽  
Vol 8 (9) ◽  
pp. 2832-2836
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Sensitive Information ◽  
Ddos Attacks ◽  
Mobile Botnet ◽  
Mobile Malware ◽  
Cross Site

Mobile devices are overgrowing; nowadays people are using mobile devices for different activities. Over the years malware attacks on mobile devices are increasing, the primary intention of the attacker is to steal sensitive information and turn the infected mobile device into a member of the botnet. We studied differences between traditional botnets and mobile botnets, also analyzed different mobile botnet attacks. Mobile malware applications spread through Cross-site Scripting vulnerabilities in trusted websites. Developed a mobile malware which can perform Denial-of-service attacks and used this malware to test and review mobile botnet attacks. We also studied solutions to prevent these mobile botnet attacks.

A Systematic Review and Analysis of Mobile Botnet Detection for GPS Exploitation

2017 ◽  
Vol 23 (5) ◽  
pp. 4696-4700
Author(s):  
Muhammad Bin Yusof ◽  
Madihah binti Mohd Saudi ◽  
Farida Ridzuan
Keyword(s):  
Systematic Review ◽  
Botnet Detection ◽  
Mobile Botnet
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