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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Communication dans un congrès
DCOSS: Distributed Computing in Sensor Systems, May 2014, Marina del Rey, California, United States. 10th IEEE International Conference on Distributed Computing in Sensor Systems, pp.171-178, 2014, 〈10.1109/DCOSS.2014.15〉
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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. 10th IEEE International Conference on Distributed Computing in Sensor Systems, pp.171-178, 2014, 〈10.1109/DCOSS.2014.15〉. 〈hal-01121277〉

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