NDLI: On the performance evaluation and prediction of encounter-based worm interactions based on node characteristics

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On the performance evaluation and prediction of encounter-based worm interactions based on node characteristics

Content Provider	ACM Digital Library
Author	Helmy, Ahmed Tanachaiwiwat, Sapon
Abstract	An encounter-based network is a frequently-disconnected wireless ad-hoc network requiring nearby neighbors to store and forward data utilizing mobility and encounters over time. Using traditional approaches such as gateways or firewalls for deterring worm propagation in encounter-based networks is inappropriate. We propose models for the worm interaction approach that relies upon automated beneficial worm generation to alleviate problems of worm propagation in such networks. We study and analyze the impact of key mobile node characteristics including node cooperation, immunization, on-off behavior on the worm propagations and interactions. We validate our proposed model using extensive simulations. We also find that, in addition to immunization, cooperation can reduce the level of worm infection. Furthermore, on-off behavior linearly impacts only timing aspect but not the overall infection. Using realistic mobile network measurements, we find that encounters are non-uniform, the trends are consistent with the model but the magnitudes are drastically different. Immunization seems to be the most effective in such scenarios. These findings provide insight that we hope would aid to develop counter-worm protocols in future encounter-based networks.
Starting Page	67
Ending Page	74
Page Count	8
File Format	PDF
ISBN	9781595937377
DOI	10.1145/1287791.1287805
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-09-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Encounter-based worms Delay-tolerant networks Worm
Content Type	Text
Resource Type	Article

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