Impact Study of a Mobile Botnet over LTE Networks

Asem Kitana¹⁺, Issa Traore¹, and Isaac Woungang²

¹Department of Electrical and Computer Engineering
University of Victoria, Victoria, British Columbia, Canada
akitana@uvic.ca, itraore@ece.uvic.ca

²Department of Computer Science Ryerson University, Toronto, Ontario, Canada
iwoungan@scs.ryerson.ca

Abstract

This paper studies the impact of a mobile botnet on a Long Term Evolution (LTE) network by implementing a mobile botnet architecture that initiates a Distributed Denial of Service (DDoS) attack. To understand the behavior of the mobile botnet, a correlation between the mobile devices' mobility and the DDoS attack is established. Real traces of taxi cabs are used to simulate the mobile devices' trajectory movements. Indeed, the impact of the random patterns of movements' behavior (so-called Asymmetric Mobility Model (AMM)) (resp. the uniform patterns of movements' behavior (so-called Symmetric Mobility Model (SMM)) on the mobile botnet's behavior are studied under a DDoS attack scenario. This reveals the advantage of deploying the SMM model compared to the AMM model, with respect to the number of infected mobile devices, task processing time, traffic load and response time of the victim server, and CPU resource consumption.

Keywords: Mobile botnet, symmetric mobility model, asymmetric mobility model, Long Term Evolution networks, distributed denial of service, Riverbed modeler simulator, segment-based trajectory, real traces dataset.

+: Corresponding author: Asem Kitana
Department of Electrical and Computer Engineering, University of Victoria, P.O. Box 1700, STN CSC, Victoria, British Columbia, V8W 2Y2, Canada, Tel: +1-(250) 721.86.97

Journal of Internet Services and Information Security (JISIS), 6(2): 1-22, May 2016 [pdf]