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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2012 - 1
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Performance Analysis of Cell-Phone Worm Spreading in Cellular Networks through Opportunistic Communications

YAHUI, W. See more information about YAHUI, W. on SCOPUS See more information about YAHUI, W. on IEEExplore See more information about YAHUI, W. on Web of Science, DENG, S. See more information about  DENG, S. on SCOPUS See more information about  DENG, S. on SCOPUS See more information about DENG, S. on Web of Science, HUANG, H. See more information about  HUANG, H. on SCOPUS See more information about  HUANG, H. on SCOPUS See more information about HUANG, H. on Web of Science, DENG, Y. See more information about DENG, Y. on SCOPUS See more information about DENG, Y. on SCOPUS See more information about DENG, Y. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (720 KB) | Citation | Downloads: 929 | Views: 3,556

Author keywords
opportunistic communications, delay tolerant network, 3G networks, Markov process, cell-phone worms

References keywords
mobile(14), networks(10), malware(10), sarkar(5), khouzani(5), infocom(5), infcom(5), worm(4), network(4), delay(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-05-30
Volume 12, Issue 2, Year 2012, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.02001
Web of Science Accession Number: 000305608000001
SCOPUS ID: 84865306374

Abstract
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Full text preview
Worms spreading directly between cell-phones over short-range radio (Bluetooth, WiFi, etc.) are increasing rapidly. Communication by these technologies is opportunistic and has very close relation with the social characteristics of the phone carriers. In this paper, we try to evaluate the impact of different characteristics on the spreading performance of worms. On the other hand, the behaviors of worms may have certain impact, too. For example, worms may make phones be completely dysfunctional and these phones can be seen as killed. We study the impact of the killing speed. Using the Markov model, we propose some theoretical models to evaluate the spreading performance in different cases. Simulation results show the accuracy of our models. Numerical results show that if users do not believe the data coming from others easily, the worms may bring less damage. Surprisingly, if the users are more willing to install the anti-virus software, the worms may bring bigger damage when the software becomes to be outdated with high probability. Though the worms can bring big damage on the network temporarily by killing phones rapidly, numerical results show that this behavior may decrease the total damage in the long time. Therefore, killing nodes more rapidly may be not optimal for worms.


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Cited-By CrossRef

[1] An intelligent approach in delay tolerant network routing, OMIDVAR, Azadeh, MOHAMMADI, Karim, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, ISSN 1300-0632, Issue , 2017.
Digital Object Identifier: 10.3906/elk-1408-114
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
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