An IDS-based Adaptive Neural Fuzzy Inference System (ANFIS) for IoBT Security Utilizing Particle Swarm Optimization

Basmh Alkanjr; Thamer Alshammari; Afrah Alanazi; Easa Alalwany

doi:10.48084/etasr.10852

Authors

Basmh Alkanjr Department of Computer Science, College of Computer and Information Science, Jouf University, Sakaka, Saudi Arabia
Thamer Alshammari Department of Computer Engineering and Networks, College of Computer and Information Science, Jouf University, Sakaka, Saudi Arabia
Afrah Alanazi Department of Information System, College of Computer and Information Science, Jouf University, Sakaka, Saudi Arabia
Easa Alalwany Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia

Volume: 15 | Issue: 4 | Pages: 24141-24147 | August 2025 | https://doi.org/10.48084/etasr.10852

Received: 9 March 2025 | Revised: 5 April 2025 | Accepted: 23 April 2025 | Online: 20 May 2025

Corresponding author: Basmh Alkanjr

Abstract

Within the domain of cybersecurity, Intrusion Detection Systems (IDSs) are crucial to protecting network infrastructures from hostile actions. This paper presents a novel approach that leverages Particle Swarm Optimization (PSO) for feature selection to enhance the performance of an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based IDS. The PSO algorithm identifies the most significant features of a dataset, reducing dimensionality and computational complexity. Subsequently, the selected features are utilized by the ANFIS model to detect and classify intrusions with greater accuracy and efficiency. The proposed PSO-ANFIS framework outperforms traditional methods in terms of detection accuracy and false positive rate, as evidenced by experimental results. The combination of PSO for feature selection with ANFIS for intrusion detection offers a solution to cybersecurity issues, especially in dynamic and intricate systems such as the Internet of Battlefield Things (IoBT).

Keywords:

fuzzy logic, machine learning, Beluga Whale Optimizer (BWO), particle swarm optimization, intrusion detection system, internet of battlefield things

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