NDLI: Reasoning about mobile malware using high performance computing based population scale models

Content Provider	IEEE Xplore Digital Library
Author	Channakeshava, Karthik Bisset, Keith Marathe, Madhav V. Vullikanti, Anil Kumar S.
Copyright Year	2014
Description	Author affiliation: Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, 1880 Pratt Drive, MC 0477 Virginia Tech, Blacksburg, 24061, USA (Bisset, Keith; Marathe, Madhav V.; Vullikanti, Anil Kumar S.) \|\| Ericsson, 250 Holger Way, San Jose, CA 95134, USA (Channakeshava, Karthik)
Abstract	We present a high performance computing (HPC) based modeling approach to reason about mobile malware. The ubiquity of smart phones and devices and the use of local protocols for disseminating information over such devices has raised new security challenges. The HPC approach to study mobile malware propagation problem involves: (i) a realistic and detailed representation of mobile devices, their time varying location, their usage patterns and the urban environment within which they are operated, leading to dynamic interaction networks over which malware can spread - these networks are large, heterogeneous and time varying; and (ii) a high performance computing based simulation environment that can study diffusion of malware over such networks. We use EpiCure, an individual based high performance simulation tool for malware modeling, that scales to networks spanning urban regions with over 10M individuals. We find that malware dynamics in realistic networks are very different from those in random waypoint (RWP) mobility models. Next, we study the impact of some of the worm model parameters and properties associated with population mobility and social contact networks; we use detailed statistical analysis to identify the significant parameters and their interaction. Finally, we use EpiCure to study SMS/MMS based malware and hybrid malware that spread using both proximity based Bluetooth networks and infrastructure based cellular networks.
Starting Page	3048
Ending Page	3059
File Size	453050
Page Count	12
File Format	PDF
e-ISBN	9781479974863
DOI	10.1109/WSC.2014.7020143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Malware Bluetooth Computational modeling Grippers Sociology Statistics Mobile communication
Content Type	Text
Resource Type	Article

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