aspg-18-3435-1792025586 20261015005306 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2025 15 1 Raghu Dhumpati Lecturer, Dept. of CSE, Bahrain Polytechnic, Bahrain Tejeswar Reddy Velpucharla Director of Technology and Operations, Eficens Systems, Cumming, Georgia, USA L. Bhagyalakshmi Professor and Head, Dept. of ECE, Rajalakshmi Engineering College, Chennai, TN, India Peruri Venkata Anusha Assistant Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India This research presents a new and elaborate security model for IoT devices used in home automation systems. The framework comprises five algorithms: The following models were identified: Vulnerability Assessment (VA), Anomaly Detection with Machine Learning (ADML), Behavior Analysis (BA), Intrusion Detection System (IDS), and Adaptive Security Framework (ASF). Ablation study brings out the specificity of each algorithm and underlines the synergy of the algorithms for IoT device protection. Comparisons with similar procedures confirm higher levels of sensitivity and specificity of the proposed method, as well as enhanced efficiency and tunability. Animated charts give crisp information about the total effects of security methods on different parameters. The proposed security framework has therefore been presented as now a viable solution to complex threats and continuous security for the IoT devices used in home automation systems. 2025 53 63 3435 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.150105 https://americaspg.com/journal/18/article/3435 https://americaspg.com/storage/91735356957.pdf