A Hybrid AEERAM–ResA-D2PySepCo Framework for Adaptive Energy-Efficient Resource Allocation Management and Intelligent Cyber-Attack Detection in IoT-Enabled Fog Computing Environments

Authors: KOTARI SURESH , M HUMERA KHANAM

DOI: https://doi.org/10.37082/IJIRMPS.v13.i6.232898

Short DOI: https://doi.org/hbk62w

Country: India

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Abstract: The rapid growth of Internet of Things (IoT) systems has been enormously stressing the issues of cybersecurity, energy usage, and the optimal usage of resources in distributed computers networks. Fog computing has become a promising intermediate layer between the cloud and IoT layers with the ability to process in real-time and make localized decisions. Nevertheless, the problem of fog nodes is that they are resource-limited in nature and are becoming more vulnerable to sophisticated cyber-attacks that require smart mechanisms to tackle security and energy-efficiency. Research that is currently in place is mostly concentrated on the detection of cyber-attacks or managing energy-aware resources without considering them as a unified problem, which leads to poor scalability to actual implementations in the fog-based IoT infrastructure. In this paper, the author suggests an integrated hybrid system called AEERAM-ResA-D2PySepCo that is a combination of adaptive energy-saving management of resource allocation (AEERAM) and a smart system of detecting cyber-attacks based on Residual Attention-Dilated Pyramidal Depthwise Separable Convolution (ResA-D2PySepCo). The architecture brings two research works that were not interdependent previously into one unified system (C3), where the security and use of energy can be optimized. The given model is assessed with the help of benchmark datasets such as ToN-IoT and CICIDS2018, as well as a multi-tier approach to IoT resource management situation. It is shown that experimental results have a high accuracy, precision, F1-score, false alarm rate and energy efficiency relative to current methods of the state-of-the-art. Results obtained prove that the incorporation of energy-efficient resource allocation management and CYBER-ATTACK DETECTION into one structure promotes significantly not only the ability to detect cyber-attacks but also provides the opportunity to distribute resources efficiently and without waste in the ecosystem where IoT technologies are implemented.

Keywords: Fog computing; Internet of Things; cyber-attack detection; energy-efficient resource allocation; intrusion detection system; optimization algorithms;

Paper Id: 232898

Published On: 2025-12-11

Published In: Volume 13, Issue 6, November-December 2025

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