Modified Salp Swarm Optimization for Mobile Secure Routing in Intrusion Detection System for Wireless Sensor Network
Mobile secure routing is crucial for protecting wireless networks from potential threats and ensuring the confidentiality of transmitted data. Challenges such as dynamic topology changes and susceptibility to attacks underscore the need for robust algorithms. This paper introduces the Modified Salp...
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Published in | 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON) pp. 1 - 5 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
09.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Mobile secure routing is crucial for protecting wireless networks from potential threats and ensuring the confidentiality of transmitted data. Challenges such as dynamic topology changes and susceptibility to attacks underscore the need for robust algorithms. This paper introduces the Modified Salp Swarm Algorithm (MSSA) to optimize mobile secure routing within an Intrusion Detection System (IDS) for Wireless Sensor Networks (WSNs). MSSA, leveraging swarm intelligence, enhances network resilience through dynamic path optimization, effectively countering security risks. Numerical validation attests to MSSA's, achieving an energy consumption of 0.08 J and 12% of average end-to-end delay, 89 kbps of throughput, and 95% of detection rate. Comparative analysis against established methods such as Ant Colony Optimization (ACO), Mobile Agent-based Dynamic Intrusion Tracing (MADIT), Bacterial Foraging Optimization Algorithm (BFOA), and Trust-Based Secure and Energy-Efficient Routing (TBSEER) consistently positions MSSA as the superior solution, underscoring its effectiveness in addressing the complexities of mobile secure routing in wireless networks. |
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DOI: | 10.1109/NMITCON62075.2024.10699289 |