aspg-20-2375-1791304756 20261006163916 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Wireless and Ad Hoc Communication IJWAC 2692-4056 2023 7 2 Anil Audumbar Pise Siatik Premier Google Cloud Platform Partner Johannesburg South Africa, University of the Witwatersrand Johannesburg-South Africa Computer Science, Head of Data Science & Machine Learning, Ad Saurabh Singh Assistant Professor, Department of AI and Big data, woosong University, Daejeon South Korea Hemachandran K. Professor, School of Business, Woxsen University, Hyderabad, India Shraddhesh Gadilkar Associate Engineer, TSYS Global Payments, Pune, India Zakka Benisemeni Esther Senior Lecturer, Federal Polytechnic Bauchi, Nigeria Ganesh Shivaji Pise Assistant Professor in Pune Institute of Computer Technology Pune Jude Imuede University of Prince Edward Island The Adaptive Security Protocol Framework (ASPF) is introduced as a sophisticated algorithm designed for dynamic security protocol adaptation in large-scale IoT sensor networks. Comprising five integral algorithms, namely ASPF, MLTD, DKMS, BAP, and CTIS, the framework ensures a comprehensive and adaptive defense mechanism against evolving cyber threats. ASPF initiates with data collection, preprocessing, and feature extraction, employing supervised learning for model training. Anomaly detection triggers alerts and responses, guiding continuous learning and security protocol adaptation. MLTD enhances real-time threat detection through dynamic model training and threat intelligence integration. DKMS focuses on secure key management for data transmissions, calculating device thresholds and ensuring adaptive key exchanges. BAP leverages historical data for behavioral profiling, enabling real-time anomaly detection and adaptive profile updates. CTIS assesses and aggregates threat levels, fostering continuous collaboration and collective defense. The ablation study emphasizes the indispensable role of each algorithm, showcasing their synergistic contributions to the overall system's adaptability and robustness. Evaluation through comprehensive tables and visual representations highlights the proposed method's superiority over existing security protocols. The ablation study underscores the holistic nature of ASPF, solidifying its efficacy in addressing the dynamic challenges of cybersecurity in large-scale IoT sensor networks. 2023 25 40 2375 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJWAC.070202 https://americaspg.com/journal/20/article/2375 https://americaspg.com/storage/81704323159.pdf