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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
M. Indirani
Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College
Computer Science & IT

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Enhanced anomaly detection in IoT networks via feature fusion and learning-based echo state networks P. Palpandi; B. Sakthivel; M. Ponnrajakumari; M. Indirani; S. Govindaraju; S. Deivasigamani
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1154-1166

Abstract

The fast development of internet of things (IoT) networks has led to an increased probability of cyberattacks. Intrusion detection systems (IDS) are needed for identifying unauthorised access and malicious activities in such dynamic environments. However, existing machine learning (ML) models failed to handle the complexity and variability of modern cyber threats. In this work, a hybrid deep learning (DL)-based anomaly detection model is presented for IoT cybersecurity. The model combines three types of features: (i) supervised feature extraction using linear discriminant analysis (LDA) to extract the most discriminative features, (ii) unsupervised feature learning through autoencoders to capture latent representations of the input data, and (iii) statistical features such as mean, variance, skewness, and kurtosis to learn input characteristics. The fused feature matrix is fed into a learning based echo state network (LBESN) for final detection. The parameters of the LBESN model are tuned using black eagle optimizer (BEO). Experimental results on standard intrusion detection datasets such as UNSW-NB15, KDD99, and InSDN show that the proposed model achieves superior performance in terms of accuracy, precision, recall, and F1-score compared to conventional DL techniques.
Co-Authors B. Sakthivel M. Ponnrajakumari P. Palpandi S. Deivasigamani S. Govindaraju