|2/2012 - 1|
Performance Analysis of Cell-Phone Worm Spreading in Cellular Networks through Opportunistic CommunicationsYAHUI, W. , DENG, S. , HUANG, H. , DENG, Y.
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opportunistic communications, delay tolerant network, 3G networks, Markov process, cell-phone worms
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
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are more willing to install the anti-virus software, the worms may bring bigger damage when the software becomes to be outdated with high probability.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.
|References|||||Cited By «-- Click to see who has cited this paper|
| Z. Zhu, G. Cao, S. Zhu, S. Ranjan, A. Nucci, "A social network based patching scheme for worm containment in cellular networks," in Proc. IEEE INFOCOM, 2009. |
[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 79]
 F. Li, Y. Yang, and J. Wu, "CPMC: an efficient proximity malware coping scheme in Smartphone-based mobile networks," in Proc. IEEE INFOCOM, 2010.
[CrossRef] [SCOPUS Times Cited 41]
 K. Fall, "A delay-tolerant network architecture for challenged internets," in Proc. ACM SIGCOMM, 2003.
 G. Papastergious, I. Psaras, and V. Tsaoussidis, "Deep-space transport protocol: a novel transport scheme for space DTNs," Computer Communications, vol.32, no. 16, 2009.
[CrossRef] [Web of Science Times Cited 43] [SCOPUS Times Cited 55]
 J. Ott, E. Hyytiä, P. Lassila, T. Vaegs, and J. Kangasharju, "Floating content: information sharing in urban areas," in Proc. IEEE Int. Conf. PerCom, Mar. 2011.
[CrossRef] [SCOPUS Times Cited 75]
 B. Oh, Y. Na, J. Yang, S. Park, J. Nang, and J. Kim, "Genetic algorithm-based dynamic vehicle route search using car-to-car communications," Advances in Electrical and Computer Engineering, vol. 10, no. 4, pp. 81-86, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 5]
 T. Spyropoulos, T. Turletti, and K. Obrazcka, "Routing in delay tolerant networks comprising heterogeneous populations of nodes," IEEE Trans. Mobile Computing, vol.8, no. 8, Aug. 2009.
[CrossRef] [Web of Science Times Cited 102] [SCOPUS Times Cited 134]
 E. Bulut, Z. Wang, and B. Szymanski, "Cost effective multi-period spraying for routing in delay tolerant networks," IEEE/ACM Trans. Networking, Vol. 8, no. 5, Oct. 2010.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 74]
 J. Omic, A. Orda, and P. V. Mieghem, "Protecting against network infections: a game theoretic perspective," in Proc. IEEE INFOCOM, 2009.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 62]
 MHR. Khouzani and S. Sarkar, "Dynamic malware attack in energy-constrained mobile wireless networks." in Proc. Fifth Symposium on Information Theory and Applications, 2010.
[CrossRef] [SCOPUS Times Cited 14]
 J. Su, K. Chan, A. Miklas, K. Po, A. Akhavan, S. Saroiu, E. de Lara, and A. Goel, "A preliminary investigation of worm infections in a Bluetooth environment," in Proc. ACM WORM, 2006.
[CrossRef] [SCOPUS Times Cited 69]
 A. Bose and K. Shin, " On mobile viruses exploiting messaging and Bluetooth services," in Proc. ICST Securecomm, 2006.
[CrossRef] [SCOPUS Times Cited 47]
 S. Cheng, W. C. Ao, P. Chen, and K. Chen, "On modeling malware propagation in generalized social networks," IEEE Comm. Lett., vol. 15, no. 1, Jan. 2011.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 66]
 N. Husted and S. Myers, "Why mobile-to-mobile wireless malware won't cause a storm," in Proc. USENIX Workshop on Large-scale Exploits and Emergent Threats, 2011.
 J. Tang, C. Mascolo, M. Musolesi, and V. Latora, "Exploiting temporal complex network metrics in mobile malware containment," in Proc. WOWMOM, Jue. 2011.
[CrossRef] [SCOPUS Times Cited 23]
 G. Yan, L. Cuellar, and S. Eidenbenz, "Blue-watchdog: detecting Bluetooth worm propagation in public areas," in Proc. DSN, 2009.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 10]
 J. Cheng, S. H. Y. Wong, H. Yang, and S. Lu, "SmartSiren: virus detection and alert for smart phones," in Proc. Mobisys, Jue. 2007.
[CrossRef] [SCOPUS Times Cited 140]
 MHR. Khouzani, E. Altman, and S. Sarkar, "Optimal quarantining of wireless malware through power control," in Proc. Fourth Symposium on Information Theory and Applications, University of California, San Diego, Feb. 2009.
 MHR. Khouzani, E. Altman, and S. Sarkar, "Maximum damage malware attack in mobile wireless networks," in Proc. IEEE INFOCOM, 2010.
[CrossRef] [SCOPUS Times Cited 32]
 MHR. Khouzani, S. Sarkar, and E. Altman, "Dispatch then stop: optimal dissemination of security patches in mobile wireless networks," in Proc. IEEE CDC, 2010.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 23]
 MHR. Khouzani, S. Sarkar, and E. Altman, "A dynamic game solution to malware attack," in Proc. IEEE INFOCOM, Shanghai, China, Apr. 2011.
[CrossRef] [SCOPUS Times Cited 19]
 Y. Li, P. Hui, D. Jin, L. Su, and L. Zeng, "An optimal distributed malware defense system for mobile networks with heterogamous devices," in Proc. IEEE SECON, Jun. 2011.
[CrossRef] [SCOPUS Times Cited 8]
 A. P. Felt, M. Finifter, E. Chin, S. Hanna, and D. Wagner, " A survey of mobile malware in the wild," in Proc. ACM Workshop on Security and Privacy in Mobile Devices (SPSM), 2011.
[CrossRef] [SCOPUS Times Cited 434]
 R. Groenevelt, P. Nain, and G. Koole, "The message delay in mobile ad hoc networks," Performance Evaluation, 2005.
[CrossRef] [Web of Science Times Cited 291] [SCOPUS Times Cited 441]
 T. Karagiannis, J. -Y. L. Boudec, and M. Zojnovic, "Power law and exponential decay of inter contact times between mobile devices," in Proc. ACM MOBICOM, 2007.
[CrossRef] [SCOPUS Times Cited 333]
 A. Keranen, J. Ott, and T. Karkkainen, "The ONE simulator for DTN protocol evaluation," in Proc. SIMUTOOLS, 2009.
[CrossRef] [SCOPUS Times Cited 1364]
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