Citation

Ahmed, Saad Salman and Alansari, Zainab and Belgaum, Mohammad Riyaz (2024) Detecting Routing Attacks in WSN: A Novel Cartesian Product-Based Method. In: 2024 Arab ICT Conference (AICTC), 27-28 February 2024, Manama, Bahrain.

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Abstract

Routing attacks pose a substantial security risk in Wireless Sensor Networks (WSNs), compromising network performance and reliability. Utilizing the Cartesian product concept to identify these routing attacks in WSNs is an emerging and promising approach. This strategy involves generating a Cartesian product graph from the original network graph and subsequently extracting relevant features to detect potential threats. The success of this approach is dependent on several factors, such as feature selection, the detection algorithm employed, and the prevailing network conditions. This research presents an innovative framework that leverages the Cartesian product approach to identify routing attacks in WSNs. The performance of this framework is evaluated using the Cooja simulator, yielding results that indicate high detection accuracy, low energy usage, and minimal overhead. A comparative analysis with contemporary studies illustrates the superior ability of this framework to handle a wide range of attack scenarios and network conditions. The introduced framework significantly advances the field of routing attack detection in WSNs and provides an actionable solution for easy integration into existing WSNs.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Routing Attacks, Cartesian Product, Wireless Sensor Networks
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Jan 2025 04:46
Last Modified:	03 Jan 2025 04:46
URII:	http://shdl.mmu.edu.my/id/eprint/13291

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