Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81468
Title: Infection Spreading and Source Identification: A Hide and Seek Game
Authors: Luo, Wuqiong
Tay, Wee Peng
Leng, Mei
Keywords: Infection source
Rumor source
Issue Date: 2016
Source: Luo, W., Tay, W. P., & Leng, M. (2016). Infection Spreading and Source Identification: A Hide and Seek Game. IEEE Transactions on Signal Processing, 64(16), 4228-4243.
Series/Report no.: IEEE Transactions on Signal Processing
Abstract: The goal of an infection source node (e.g., a rumor or computer virus source) in a network is to spread its infection to as many nodes as possible, while remaining hidden from the network administrator. On the other hand, the network administrator aims to identify the source node based on knowledge of which nodes have been infected. We model the infection spreading and source identification problem as a strategic game, where the infection source and the network administrator are the two players. As the Jordan center estimator is a minimax source estimator that has been shown to be robust in recent works, we assume that the network administrator utilizes a source estimation strategy that can probe any nodes within a given radius of the Jordan center. Given any estimation strategy, we design a best-response infection strategy for the source. Given any infection strategy, we design a best-response estimation strategy for the network administrator. We derive conditions under which a Nash equilibrium of the strategic game exists. Simulations in both synthetic and real-world networks demonstrate that our proposed infection strategy infects more nodes while maintaining the same safety margin between the true source node and the Jordan center source estimator.
URI: https://hdl.handle.net/10356/81468
http://hdl.handle.net/10220/43480
ISSN: 1053-587X
DOI: 10.1109/TSP.2016.2558168
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TSP.2016.2558168].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
TL Journal Articles

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