Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3435 2019 2019 Lecturer, Dept. of CSE, Bahrain Polytechnic, Bahrain L. L. Director of Technology and Operations, Eficens Systems, Cumming, Georgia, USA Tejeswar Reddy Velpucharla Professor and Head, Dept. of ECE, Rajalakshmi Engineering College, Chennai, TN, India L. Bhagyalakshmi Assistant Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Peruri Venkata Anusha 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 2025 53 63 10.54216/JISIoT.150105 https://www.americaspg.com/articleinfo/18/show/3435