Abstract
Mobile Opportunistic Networks (MONs) are effective solutions to uphold communications in the situations where traditional communication networks are unavailable. However, MONs can be abused to disseminate misinformation causing undesirable effects in public. To prevent misinformation from propagating, we first propose a formal model to formulate the process of misinformation propagation based on the ordinary differential equation. Secondly, we explore a general framework to describe the random mobility of nodes, and derive a new contact rate between nodes. Thirdly, we propose a double pulse control strategy of vaccination and treatment for inhibiting misinformation propagation. Moreover, a novel pulse control model of misinformation propagation is developed based on the impulsive differential equation. Finally, through the derivation and stability analysis of a misinformation-free period solution of the proposed model, we obtain a threshold upon which misinformation dies out. The simulation results validate our theoretical analysis.
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References
Wang, Y., Chuah, M.C., Chen, Y.: Incentive based data sharing in delay tolerant mobile networks. IEEE Trans. Wirel. Commun. 13(1), 370–381 (2014)
Conti, M., Giordano, S.: Mobile ad hoc networking: milestones, challenges, and new research directions. IEEE Commun. Mag. 52(1), 85–96 (2014)
Teng, J., Zhang, B., Li, X., Bai, X., Xuan, D.: E-shadow: lubricating social interaction using mobile phones. IEEE Trans. Comput. 63(6), 1422–1433 (2014)
Kumar, K.K., Geethakumari, G.: Information diffusion model for spread of misinformation in online social networks. In: Proceedings of the IEEE International Conference Advances in Computing, Communications and Informatics (ICACCI 2013), pp. 1172–1177 (2013)
Lewandowsky, S., Ecker, U.K.H., Seifert, C.M., Schwarz, N., Cook, J.: Misinformation and its correction: continued influence and successful debiasing. Psychol. Sci. Pub. Interest 13(3), 106–131 (2012)
Trifunovic, S., Kurant, M., Hummela, K.A., Legendre, F.: Preventing spam in opportunistic networks. Comput. Commun. 41(15), 31–42 (2014)
Liu, X., Takeuchi, Y., Iwami, S.: SVIR epidemic models with vaccination strategies. J. Theor. Biol. 253(1), 1–11 (2008)
Yang, Y.: Global stability of VEISV propagation modeling for network worm attack. Appl. Math. Model. 39(2), 776–780 (2015)
Bettstetter, C., Resta, G., Santi, P.: The node distribution of the random waypoint mobility model for wireless ad hoc networks. IEEE Trans. Mob. Comput. 2(3), 257–269 (2003)
Li, Y., Hui, P., Jin, D., Sheng, C.: Delay-tolerant network protocol testing and evaluation. IEEE Commun. Mag. 53(1), 258–266 (2015)
Acknowledgment
This work is supported by the Natural Science Foundation of China (Grant Nos. 61373083, 61402273), and the Program of Key Science and Technology Innovation Team in Shaanxi Province (No. 2014KTC-18).
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Wang, X., Lin, Y., Zhang, L., Cai, Z. (2015). A Double Pulse Control Strategy for Misinformation Propagation in Human Mobile Opportunistic Networks. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_56
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DOI: https://doi.org/10.1007/978-3-319-21837-3_56
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