A topology inference algorithm for wireless sensor networks

Kontos, Theofanis; Alyfantis, George; Angelopoulos, Yiannis; Hadjiefthymiades, Stathes

doi:10.1109/iscc.2012.6249342

Cited by 8 publications

(1 citation statement)

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“…Malicious attackers can camouflage as normal nodes within MANETs and obtain complete network topology information by exploiting routing messages [6], [7]. In addition, topology inference algorithms have been proposed for wireless sensor networks [8]. Physical or DDoS attacks can be conducted against nodes of highest importance [6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of critical node attacks in mobile ad hoc networks

Zhang

Sterbenz

2014

2014 6th International Workshop on Reliable Networks Design and Modeling (RNDM)

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Understanding network behavior under challenges is essential to constructing a resilient and survivable network. Due to the mobility and wireless channel properties, it is more difficult to model and analyze MANETs (mobile ad hoc networks) under various challenges. Previously, we have modeled network attacks based on a priori complete knowledge of network structure and mobility. In this paper, we present the analysis of MANET behavior under random node failures and centralitybased attacks based on real-time topological information, and provide a comparison of network performance under complete information and real-time attacks. In addition, we adapt betweenness and closeness centrality to measure node significance in asymmetric source/sink network scenarios. The ns-3 simulator is used to examine network throughput under various intelligent attacks. By analyzing network topological properties, we provide a theoretical verification of the simulation results.Index Terms-mobile wireless topology challenge modeling, MANET, time-varying weighted graph, resilient survivable disruption-tolerant network, ns-3 simulation 978-1-4799-7040-7 ©2014 IEEE

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Section: Introductionmentioning

confidence: 99%