Research Article
Detection of Malicious Nodes Using Collaborative Neighbour Monitoring in DSA Networks
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@INPROCEEDINGS{10.1007/978-3-030-98002-3_16, author={Augustine Takyi and Natasha Zlobinsky and Odametey Akuye-Shika and David Johnson and Melissa Densmore}, title={Detection of Malicious Nodes Using Collaborative Neighbour Monitoring in DSA Networks}, proceedings={Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings}, proceedings_a={CROWNCOM \& WICON}, year={2022}, month={3}, keywords={Spectrum sensing Collaborative neighbour monitoring Malicious node detection DSA networks Position falsification attack}, doi={10.1007/978-3-030-98002-3_16} }- Augustine Takyi
Natasha Zlobinsky
Odametey Akuye-Shika
David Johnson
Melissa Densmore
Year: 2022
Detection of Malicious Nodes Using Collaborative Neighbour Monitoring in DSA Networks
CROWNCOM & WICON
Springer
DOI: 10.1007/978-3-030-98002-3_16
Abstract
This work addresses position falsification attacks of malicious nodes against spectrum users and devises a strategy to detect such nodes. We conducted over 6 months of measurements to confirm the practicability of using RSSI under varying weather conditions, which confirms that RSSI fluctuates along the mean. Also, the simulation results obtained show that collaborative neighbour monitoring in hybrid (centralized and distributed) networks work well in detecting position falsification attacks in dynamic spectrum access networks, provided that the distance between the actual malicious node position and the falsified position is at least 0.3 km.
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