NDLI: Energy-balancing method to detect denial of service attacks in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Monnet, Q. Mokdad, L. Ben-Othman, J.
Copyright Year	2014
Description	Author affiliation: Lab. L2TI, Univ. Paris 13, Villetaneuse, France (Ben-Othman, J.) \|\| Lab. LACL, Univ. Paris-Est, Créteil, France (Monnet, Q.; Mokdad, L.)
Abstract	The use of sensor networks has increased rapidly over the last years. Due to their low resources, sensors come along with new issues regarding network security and energy consumption. Focusing on the network availability, previous studies proposed to protect the network against denial of service attacks with the use of traffic monitoring agents on some nodes. But if the control nodes go down or get compromised, they leave the network unprotected. To better fight against attacks, we try to enhance this solution by introducing an energy-aware and secure method to select these monitoring nodes (called cNodes) in a clustered wireless sensor network. Our election process is done in accordance to their remaining reserves: nodes with the higher residual energy are selected. We discuss limitations of this deterministic process concerning security and cluster coverage, and suggest as a workaround to designate new control nodes (called vNodes). Those vNodes are responsible for monitoring the cNodes by periodically enquiring about their remaining energy and ensuring that they do not lie during the election process (in attempt to keep their cNode role). Finally, we present some experimental results obtained with the ns-3 simulator in order to analyze the impact of our proposal on the energy repartition in the network.
Starting Page	106
Ending Page	111
File Size	141241
Page Count	6
File Format	PDF
ISBN	9781479920037
DOI	10.1109/ICC.2014.6883303
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nominations and elections Peer-to-peer computing Computational modeling Wireless sensor networks Load modeling Monitoring Batteries Simulation Reliability availability serviceability Energy-aware systems
Content Type	Text
Resource Type	Article

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