Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2755 2019 2019 Indian Institute of Technology, Patna, India Piyush Piyush Associate Dean and Head, CS/IT, AKS University, SATNA, MP, India Akhilesh A. Waoo Department of, C.S.& E., B. P. Mandal College of Engineering, Madhepura, Bihar, India Murlidhar Prasad Singh Department of AIML and IPR Cell Nitte Meenakshi Institute of Technology Bengaluru, Karnataka, India – 560064, India Piyush Kumar Pareek Department of ECE, Dr. B. R. Ambedkar Institute of Technology, Port Blair, Andaman & Nicobar Islands, India-744103, India Shoaib Kamal Department of Artificial Intelligence and Data Science, PES Modern College of Engineering, Shivajinagar, Pune-411005, India Shraddha V. Pandit This research introduces an algorithmic framework for enhancing the security of Internet of Things (IoT) networks. The Enhanced Anomaly Detection (EAD) algorithm initiates the process by detecting anomalies in real-time IoT data, serving as the foundational layer. The Behavior Analysis for Profiling (BAP) algorithm builds upon EAD, adding behavior analysis for profiling and adaptive identification of abnormal behavior. Signature-Based Detection (SBD) involves pre-identified attack signatures, which supports detection of known attacks and provides proactive defense measures against documented threats. The MLID, or the Machine Learning-Based Intrusion Detection, algorithm uses trained machine learning models in order to detect anomalies and the adaptability to changing security risks. The Real-Time Threat Intelligence Integration (RTI) algorithm integrates updated threat intelligence feeds, which improves the framework's responsiveness to emerging threats. The visual representations illustrate once again the idea of the new framework being very accurate at intergration, applicability, and overal security effectiveness. The research makes a standard solution which proves to be a smart and responsive way guarding the IoT networks reducing and even fighting known and potential threats in a real-time mode. 2024 2024 195 207 10.54216/JISIoT.120215 https://www.americaspg.com/articleinfo/18/show/2755