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Title

Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks

  Anil Audumbar Pise 1 * ,   Saurabh Singh 2 ,   Hemachandran K. 3 ,   Shraddhesh Gadilkar 4 ,   Zakka Benisemeni Esther 5 ,   Ganesh Shivaji Pise 6 ,   Jude Imuede 7

1  Siatik Premier Google Cloud Platform Partner Johannesburg South Africa, University of the Witwatersrand Johannesburg-South Africa Computer Science, Head of Data Science & Machine Learning, Adjunct Professor
    (anil@siatik.com)

2  Assistant Professor, Department of AI and Big data, woosong University, Daejeon South Korea
    (singh.saurabh@wsu.ac.kr)

3  Professor, School of Business, Woxsen University, Hyderabad, India
    (hemachandran.k@woxsen.edu.in)

4  Associate Engineer, TSYS Global Payments, Pune, India
    (sgadilkar@tsys.com)

5  Senior Lecturer, Federal Polytechnic Bauchi, Nigeria
    (benizakka@fptb.edu.ng)

6  Assistant Professor in Pune Institute of Computer Technology Pune
    ( gspise@pict.edu)

7  University of Prince Edward Island
    (jimuede@upei.ca)


Doi   :   https://doi.org/10.54216/IJWAC.070202

Received: May 09, 2023 Revised: September 14, 2023 Accepted: December 17, 2023

Abstract :

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.

 

Keywords :

Adaptive Security Protocol Framework (ASPF); Algorithm; Anomaly Detection; Behavioral Analysis and Profiling (BAP); Collaborative Threat Intelligence Sharing (CTIS); Continuous Learning; Cyber Threats , Dynamic Key Management System (DKMS); Large-scale IoT Sensor Networks; Machine Learning-Based Threat Detection (MLTD).

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Cite this Article as :
Style #
MLA Anil Audumbar Pise , Saurabh Singh , Hemachandran K. , Shraddhesh Gadilkar, Zakka Benisemeni Esther, Ganesh Shivaji Pise, Jude Imuede. "Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks." International Journal of Wireless and Ad Hoc Communication, Vol. 7, No. 2, 2023 ,PP. 25-40 (Doi   :  https://doi.org/10.54216/IJWAC.070202)
APA Anil Audumbar Pise , Saurabh Singh , Hemachandran K. , Shraddhesh Gadilkar, Zakka Benisemeni Esther, Ganesh Shivaji Pise, Jude Imuede. (2023). Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks. Journal of International Journal of Wireless and Ad Hoc Communication, 7 ( 2 ), 25-40 (Doi   :  https://doi.org/10.54216/IJWAC.070202)
Chicago Anil Audumbar Pise , Saurabh Singh , Hemachandran K. , Shraddhesh Gadilkar, Zakka Benisemeni Esther, Ganesh Shivaji Pise, Jude Imuede. "Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks." Journal of International Journal of Wireless and Ad Hoc Communication, 7 no. 2 (2023): 25-40 (Doi   :  https://doi.org/10.54216/IJWAC.070202)
Harvard Anil Audumbar Pise , Saurabh Singh , Hemachandran K. , Shraddhesh Gadilkar, Zakka Benisemeni Esther, Ganesh Shivaji Pise, Jude Imuede. (2023). Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks. Journal of International Journal of Wireless and Ad Hoc Communication, 7 ( 2 ), 25-40 (Doi   :  https://doi.org/10.54216/IJWAC.070202)
Vancouver Anil Audumbar Pise , Saurabh Singh , Hemachandran K. , Shraddhesh Gadilkar, Zakka Benisemeni Esther, Ganesh Shivaji Pise, Jude Imuede. Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks. Journal of International Journal of Wireless and Ad Hoc Communication, (2023); 7 ( 2 ): 25-40 (Doi   :  https://doi.org/10.54216/IJWAC.070202)
IEEE Anil Audumbar Pise, Saurabh Singh, Hemachandran K., Shraddhesh Gadilkar, Zakka Benisemeni Esther, Ganesh Shivaji Pise, Jude Imuede, Adapting to Evolving Cyber Threat Landscapes with Dynamic Security Protocol Management in Large-Scale IoT Sensor Networks, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 7 , No. 2 , (2023) : 25-40 (Doi   :  https://doi.org/10.54216/IJWAC.070202)