Using network traffic to infer compromised neighbors in wireless sensor nodes

This work introduces a novel security framework for wireless sensor networks (WSN) based on dynamic duty cycle, which allows nodes to detect their compromised neighbors based on unanticipated fluctuations in network traffic send rate over time. Our framework was assessed by its ability to detect adv...

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Bibliographic Details
Main Authors: Chandramouli, J. M., Ramos, Juan, Srinivasan, Lakshmi, Suresh, Prahlad, Kannan, Prashanth, Crosby, Garth, Watkins, Lanier
Format: Conference Proceeding
Language:English
Subjects:
Communication system security
Conferences
Logic gates
Mathematical model
Power Levels
Security
Wireless communication
Wireless Nodes
Wireless sensor networks
WSN APT
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Summary:This work introduces a novel security framework for wireless sensor networks (WSN) based on dynamic duty cycle, which allows nodes to detect their compromised neighbors based on unanticipated fluctuations in network traffic send rate over time. Our framework was assessed by its ability to detect advanced WSN threats (e.g., active, passive, or both attacks). One of the benefits of this framework is that it reduces all threats to unanticipated power dissipation. In other words, the framework assumes any neighbor not conforming to predicted power levels has been communicating with an unauthorized node, and thus is compromised. This threat model is emulated by applying pseudo random but bound (large to small) power dissipations to arbitrary nodes. Simulation results demonstrated that this framework was effective in detecting and isolating compromised sensor nodes.
ISSN:2331-9860
DOI:10.1109/CCNC.2017.7983279