Article

Bluetooth worm propagation: mobility pattern matters!

Authors:

Hector D. Flores,

Leticia Cuellar,

Nicolas Hengartner,

Stephan Eidenbenz,

Vincent VuAuthors Info & Claims

ASIACCS '07: Proceedings of the 2nd ACM symposium on Information, computer and communications security

Pages 32 - 44

https://doi.org/10.1145/1229285.1229294

Published: 20 March 2007 Publication History

Abstract

The alarm that worms start to spread on increasingly popular mobile devices calls for an in-depth investigation of their propagation dynamics. In this paper, we study how mobility patterns affect Bluetooth worm spreading speeds. We find that the impact of mobility patterns is substantial over a large set of of changing Bluetooth and worm parameters. For instance, a mobility model under which devices move among a fixed set of activity locations can result in worm propagation speeds four times faster than a classical mobility model such as the random walk model. Our investigation reveals that the key factors affecting Bluetooth worm propagation speeds include spatial distributions of nodes, link duration distributions, degrees to which devices are mixed together, and even the burstiness of successive links.

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Cited By

Mahboubi ACamtepe SAnsari K(2020)Stochastic Modeling of IoT Botnet Spread: A Short Survey on Mobile Malware Spread ModelingIEEE Access10.1109/ACCESS.2020.30442778(228818-228830)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3044277
Lu ZWang WWang C(2016)On the Evolution and Impact of Mobile Botnets in Wireless NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2015.249254515:9(2304-2316)Online publication date: 1-Sep-2016
https://doi.org/10.1109/TMC.2015.2492545
Tiwari STiwari V(2016)Bluetooth Worm Propagation in Mobile Networks2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)10.1109/ICMETE.2016.132(235-239)Online publication date: Sep-2016
https://doi.org/10.1109/ICMETE.2016.132
Show More Cited By

Index Terms

Bluetooth worm propagation: mobility pattern matters!
1. Networks
  1. Network protocols
    1. Network layer protocols
      1. Routing protocols
  2. Network types
    1. Mobile networks
    2. Wireless access networks

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cover image ACM Conferences

ASIACCS '07: Proceedings of the 2nd ACM symposium on Information, computer and communications security

March 2007

323 pages

ISBN:1595935746

DOI:10.1145/1229285

Editors:
Robert Deng,
Pierangela Samarati,
General Chairs:
Feng Bao
I2R, Singapore
,
Steven Miller
SMU, Singapore

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 March 2007

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Asia CCS07

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Asia CCS07: Asia CCS'07 ACM Symposium on Information, Computer and Communications Security

March 20 - 22, 2007

Singapore

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ASIACCS '07 Paper Acceptance Rate 33 of 180 submissions, 18%;

Overall Acceptance Rate 418 of 2,322 submissions, 18%

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Cited By

Mahboubi ACamtepe SAnsari K(2020)Stochastic Modeling of IoT Botnet Spread: A Short Survey on Mobile Malware Spread ModelingIEEE Access10.1109/ACCESS.2020.30442778(228818-228830)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3044277
Lu ZWang WWang C(2016)On the Evolution and Impact of Mobile Botnets in Wireless NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2015.249254515:9(2304-2316)Online publication date: 1-Sep-2016
https://doi.org/10.1109/TMC.2015.2492545
Tiwari STiwari V(2016)Bluetooth Worm Propagation in Mobile Networks2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)10.1109/ICMETE.2016.132(235-239)Online publication date: Sep-2016
https://doi.org/10.1109/ICMETE.2016.132
(2016)ReferencesMalware Diffusion Models for Wireless Complex Networks10.1016/B978-0-12-802714-1.00025-6(283-292)Online publication date: 2016
https://doi.org/10.1016/B978-0-12-802714-1.00025-6
Ho J(2015)Hop-by-Hop Worm Propagation with Carryover Epidemic Model in Mobile Sensor NetworksComputers10.3390/computers40402834:4(283-292)Online publication date: 20-Oct-2015
https://doi.org/10.3390/computers4040283
Channakeshava KBisset KMarathe MVullikanti ABuckley SMiller J(2014)Reasoning about mobile malware using high performance computing based population scale modelsProceedings of the 2014 Winter Simulation Conference10.5555/2693848.2694232(3048-3059)Online publication date: 7-Dec-2014
https://dl.acm.org/doi/10.5555/2693848.2694232
Goel NRaman BGupta I(2014)Mobile Worms and VirusesInformation Security in Diverse Computing Environments10.4018/978-1-4666-6158-5.ch011(206-229)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-6158-5.ch011
Husted NMyers SBeznosov KSomayaji ALongstaff TVan Oorschot P(2014)Emergent Properties & SecurityProceedings of the 2014 New Security Paradigms Workshop10.1145/2683467.2683468(1-14)Online publication date: 15-Sep-2014
https://dl.acm.org/doi/10.1145/2683467.2683468
Channakeshava KBisset KMarathe MVullikanti A(2014)Reasoning about mobile malware using high performance computing based population scale modelsProceedings of the Winter Simulation Conference 201410.1109/WSC.2014.7020143(3048-3059)Online publication date: Dec-2014
https://doi.org/10.1109/WSC.2014.7020143
Turner HWhite JReed JGalindo JPorter AMarathe MVullikanti AGokhale A(2013)Building a Cloud-Based Mobile Application TestbedIT Policy and Ethics10.4018/978-1-4666-2919-6.ch040(879-899)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2919-6.ch040
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