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Predicting Analytics for Dynamic Mobility Patterns in Mobile Wireless Networks Using Cutting-Edge Method
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Author(s): D. Ponmary Pushpa Latha (Division of Digital Sciences, Karunya Institute of Technology and Sciences (Deemed), Coimbatore, India), S. Princy Suganthi Bai (Department of Computer Applications, Hindustan Institute of Technology and Science (Deemed), Chennai, India), K. Lakshmi Piya (Division of Commerce and International Trade, Karunya University (Deemed), Coimbatore, India), D. Joseph Pushparaj (Department of Computer Science and Engineering, PSN College of Engineering and Technology,Tirunelveli, India)and Catherine Esther Jones (Division of Digital Sciences, Karunya Institute of Technology and Sciences (Deemed), Coimbatore, India)
Copyright: 2025
Pages: 28
Source title:
Machine Learning for Environmental Monitoring in Wireless Sensor Networks
Source Author(s)/Editor(s): Parikshit N. Mahalle (Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Pune, India), Dattatray G. Takale (Vishwakarma Institute of Information Technology, India), Sachin Sakhare (Vishwakarma Institute of Information Technology, India)and Ganesh B. Regulwar (Vardhaman College of Engineering, India)
DOI: 10.4018/979-8-3693-3940-4.ch018
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Abstract
The research aims to improve the security of multi-hop wireless ad hoc networks by creating a robust packet loss detection system. The main goal is to distinguish between packet losses caused by link errors and those resulting from insider attacks involving malicious packet dropping. The system analyzes packet loss patterns to combat insider attacks, where nodes exploit network knowledge to selectively drop critical packets. The system enhances accuracy by utilizing lost packet correlations and introduces a HLA-based public auditing architecture to verify the accuracy of reported packet loss information without compromising node privacy. The anticipated outcome will enhance detection accuracy, privacy-preserving auditing, and the implementation of targeted mitigation strategies, thereby enhancing the security and reliability of multi-hop wireless ad hoc networks.
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