Paper Info
Title
Reasoning about mobile malware using high performance computing based population scale models
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.
Year
DOI
Venue
2014
10.1109/WSC.2014.7020143
WSC '14: Winter Simulation Conference Savannah Georgia December, 2014
Keywords
Field
DocType
Bluetooth,computer network security,invasive software,mobile computing,parallel processing,smart phones,EpiCure,HPC-based modeling approach,MMS-based malware,RWP mobility models,SMS-based malware,dynamic interaction networks,high-performance computing based simulation environment,high-performance computing-based population scale models,hybrid malware,information dissemination,infrastructure-based cellular networks,large-heterogeneous-time varying networks,local protocols,malware diffusion,malware dynamics,malware modeling,mobile devices,mobile malware propagation problem,mobile malware reasoning,network spanning urban region scaling,population mobility,proximity-based Bluetooth networks,random waypoint mobility models,realistic networks,smart device ubiquity,smart phone ubiquity,social contact networks,statistical analysis,time varying location,urban environment,usage patterns,worm model parameters
Mobile malware,Population,Supercomputer,Computer science,Simulation,Computer security,Mobility model,Dissemination,Mobile device,Cellular network,Malware,Distributed computing
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4673-9741-4
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Karthik Channakeshava1656.08
Keith R. Bisset2658.05
Madhav Marathe32775262.17
Anil Kumar S. Vullikanti4113598.30