Abstract
In order to take precaution and cure against internet of vehicles (IOV) worm propagation in expressway, the IOV worm propagation and its corresponding anti-worm strategy were studied in expressway interchange terminal. According to omnirange driving in expressway interchange terminal and vehicular mobile communication environment, an IOV worm propagation model is constructed; and then according to the dynamic propagation law and destructiveness of IOV worm in this environment, a novel hybrid anti-worm strategy for confrontation is designed. This worm propagation model can factually simulates the IOV worm propagation in this interchange terminal environment; and this hybrid anti-worm strategy can effectively control IOV worm propagation in the environment, moreover, it can reduce the influence on network resource overhead.
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LIN Cheng, SHAKYA R. Worm spreading and patching in inter-vehicle communications [J]. International Journal of Communication Networks and Information Security, 2010, 2(1): 50–53.
WANG Xiao-ming, LI Qiao-liang, LI Ying-shu. EiSIRS: A formal model to analyze the dynamics of worm propagation in wireless sensor networks [J]. Journal of Combinatorial Optimization, 2010, 20(1): 47–62.
GIANNETSOS T, DIMITRLOU T, NEELIR R. Self-propagating worms in wireless sensor networks [C]// Proceedings of the Co-Next Student Workshop 09. New York, NY, USA: ACM, 2009: 31–32.
SUN Bo, YAN Guan-hua, XIAO Yang. Worm propagation dynamics in wireless sensor networks [C]// Proceedings of the ICC’08. Beijing, China: IEEE Communications Society Press, 2008: 1541–1545.
MOHIMANI G H, ASHTIANI F, JAVANMAARD A, HAMDI M. Mobility modeling, spatial traffic distribution, and probability of connectivity for sparse and dense vehicular ad hoc networks [J]. IEEE Transactions on Vehicular Technology, 2009, 58(4): 1998–2007.
CHEN Xi-qun, XIE Wei-jun, SHI Jing, SHI Qi-xin. Perturbation and stability analysis of the multi-anticipative intelligent driver model [J]. International Journal of Modern Physics C, 2010, 21(5): 647–668.
FRANK C, EMRE CS, XU J. Worm vs. w worm: Preliminary study of an active counter-attack mechanism [C]// Proceedings of the 2004 ACM workshop on rapid malcode. Washington DC, USA: ACM, 2004: 83–93
LI Jun-qun, QIN Zheng, OU Lu, SALMAN O, LIU A X, YANG Jin-min. Modeling and analysis of gradual hybrid anti-worm [J]. Journal of Central South University of Technology, 2011, 18(6): 2050–2055.
FANG Yong-hui, ZHENG Xu-fei, XIE Tang-tang. A revised benign worm-anti-worm propagation model [J]. Applied Mechanics and Materials, 2011, 121/126: 4340–4344.
ZHOU Han-xun, ZHAO Hong. Modeling and analysis of active-benign worms and hybrid-benign worms [J]. Journal of Computer Research and Development, 2007, 44(6): 958–964. (in Chinese)
RHODES C, ANDERSON R. Contact rate calculation for a basic epidemic model [J]. Mathematical Biosciences, 2008, 216(1): 56–62.
HADALLER D, KESHAV S, BRECHT T, AGARWAL S. Vehicular opportunistic communication under the microscope [C]// Proceedings of the 5th International Conference on Mobile Systems, Applications and Services. New York, USA: ACM, 2007: 206–219.
ADRIAN E, ETIENNE S, CHRISTIAN E, FRANKLIN M. Estimating the performance of intelligent transport systems wireless services for multimodal logistics applications [J]. Expert Systems with Applications, 2012, 39(4): 3939–3949.
AMADEO M, CAMPOLO C, MOLINARO A. Enhancing IEEE 802.11p/WAVE to provide infotainment applications in VANETs [J]. Ad Hoc Networks, 2012, 10(2): 253–269.
HONG Wei, ZHONG Zhang-dui, XIONG Lei, AI Bo, HE Ruisi. Study on the shadow fading characteristic in viaduct scenario of the High-speed Railway [C]// Proceedings of the 2011 6th International ICST Conference on Communications and Networking. Harbin, China: IEEE, 2011: 1216–1210.
SINGH J P, BAMBOS N, SRINIVASAN B, CLAWIN D. Wireless LAN performance under varied stress conditions in vehicular traffic scenarios [C]// Proceedings of IEEE Vehicular Technology Conference’2002, Vancouver, Canada: IEEE Press, 2002(2): 743–747.
BERETTA E, TAKEUCHI Y. Convergence results in SIR epidemic models with varying population sizes [J]. Nonlinear Analysis: Theory, Methods & Applications, 1997, 28(12): 1909–1921.
ZOU C, GAO L, GONG W, TOWSLEY D. Monitoring and early warning for Internet worms [C]// Proceedings of the 10th ACM Conference on Computer and Communications Security. Washington DC, USA: ACM, 2003: 190–199.
BAILEY M, COOKE E, JAHANIAN F, NAZARIO J, WATSON D. The internet motion sensor: A distributed blackhole monitoring system [C]// Proceedings of the 12th ISOC symposium on network and distributed systems security. San Diego, USA: IEEE Computer Society Press, 2005: 167–179.
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Foundation item: Project(61005008) supported by the National Natural Science Foundation of China; Project(JI300D004) supported by the COSTIND Application Foundation of China
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Wang, Z., Qian, Hy., Wang, Jy. et al. Novel IOV worm model and its corresponding hybrid anti-worm strategy in expressway interchange terminal. J. Cent. South Univ. 20, 1259–1268 (2013). https://doi.org/10.1007/s11771-013-1610-z
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DOI: https://doi.org/10.1007/s11771-013-1610-z