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Healing Wireless Sensor Networks from Malicious Epidemic Diffusion

Abstract : Leveraging the concept of controlled node mobility in this paper we develop an algorithm for tracking and controlling proximity malware propagation in Wireless Sensor Networks (WSN). Our proposal aims at: (i) notifying the nodes of malware propagation, (ii) leading a flying robot along a path in the WSN that guarantees the minimum recovery time to (iii) heal the infected nodes. We formulate the targeted curing problem as a binary integer problem and determine the optimal solution by a central solver. We use the analytical result as a benchmark to evaluate the recovery time of the proposed solution. The achieved results show a satisfactory performance in terms of tracking the presence of an ongoing epidemic and healing the nodes.
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Contributor : Enrico Natalizio Connect in order to contact the contributor
Submitted on : Monday, March 23, 2015 - 5:54:07 PM
Last modification on : Tuesday, November 16, 2021 - 4:30:09 AM
Long-term archiving on: : Saturday, September 12, 2015 - 10:10:52 PM


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Nicola Roberto Zema, Enrico Natalizio, Michael Poss, Giuseppe Ruggeri, Antonella Molinaro. Healing Wireless Sensor Networks from Malicious Epidemic Diffusion. DCOSS: Distributed Computing in Sensor Systems, May 2014, Marina del Rey, California, United States. pp.171-178, ⟨10.1109/DCOSS.2014.15⟩. ⟨hal-01121277⟩



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