Probabilistic Assessment Model for Middle-Man Attack Detection in Fifth-Generation Communication Networks

  • Sakthibalan Pandiyan, Dr.Devarajan Krishnamoorthy
Keywords: 5G Communication, Middle-Man Attack, Probabilistic Model, Response Sequence, Spoofing Attack

Abstract

Fifth-Generation (5G) communication and mobile network provides global access to resources and applications in a pervasive manner. It integrates wireless communication networks (WCNs) user equipment (UE), heterogeneous cloud service platform, and communication protocols for pervasive access and availability. However, middle-man/ spoofing attacks lure reliable services in this environment. This article introduces a Probabilistic Assessment Model (PAM) for improving the spoof detection and service response in a 5G WCN. The proposed model exploits the spoof occurrence probability for improving the detection of replicated sequences. The constraints in response sequence due to response loss probability are identified fore-hand for modifying its sequence to improve the response probability. The proposed method's performance is verified using experimental analysis for detection ratio, response probability, and response delay.

Published
2021-09-30
How to Cite
Dr.Devarajan Krishnamoorthy, S. P. (2021). Probabilistic Assessment Model for Middle-Man Attack Detection in Fifth-Generation Communication Networks. Design Engineering, 586-594. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/4903
Section
Articles