Real Time Spatial Transmission Analysis Based Improved Black Hole Attack Detection In WSN For Improved QoS

Abstract

ABSTRACT

Despite the extensive utilisation of Wireless Sensor Networks (WSNs), they remain vulnerable to various types of security breaches, including black hole attacks. The detection and prevention of black hole attacks are crucial for safeguarding the security and reliability of Wireless Sensor Networks (WSNs). The present study introduces a technique for real-time detection of black hole attacks in Wireless Sensor Networks (WSNs) by means of spatial transmission analysis, with the aim of enhancing Quality of Service (QoS). In order to enhance the identification of black hole attacks, we propose a methodology that leverages real-time spatial transmission analysis to quantify the Euclidean distance separating the source and destination nodes of every packet. An algorithm with a high detection rate and a low false positive rate was developed by us. In order to evaluate the efficacy of the proposed mechanism and establish a comparative analysis with existing methodologies, we conducted extensive experimentation. The results indicate that the proposed mechanism exhibits superior performance compared to existing techniques in terms of both detection rate and false positive rate. Our proposed mechanism aims to safeguard the quality of service of Wireless Sensor Networks (WSNs) against black hole attacks in real-time.