Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/14938
Title: Mitigating Localization and Neighbour Spoofing Attacks in Underwater Sensor Networks
Authors: Chandavarkar B.R.
Gadagkar A.V.
Issue Date: 2020
Citation: 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020 , Vol. , , p. -
Abstract: The location information of a node is one of the essential attributes used in most underwater communication routing algorithms to identify a candidate forwarding node by any of the sources. The exact location information of a node exchanged with its neighbours' in plain text and the absence of node authentication results in some of the attacks such as Sybil attack, Blackhole attack, and Wormhole attack. Moreover, the severe consequence of these attacks is Denial of Service (DoS), poor network performance, reduced network lifetime, etc. This paper proposes an anti-Spoof (a-Spoof) algorithm for mitigating localization and neighbour spoofing attacks in UASN. a-Spoof uses three pre-shared symmetric keys to share the location. Additionally, location integrity provided through the hash function. Further, the performance of a-Spoof demonstrated through its implementation in UnetStack with reference to end-to-end packet delay and the number of hops. © 2020 IEEE.
URI: https://doi.org/10.1109/ICCCNT49239.2020.9225431
http://idr.nitk.ac.in/jspui/handle/123456789/14938
Appears in Collections:2. Conference Papers

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