Jamming Attack Detection and Prevention in Cyber System

Abstract

This paper proposes cyber-attack detection and interference of Cyber Physical System. The Chi sq. detector
and symbolic logic based attack classifier (FLAC) were accustomed verify distributed denial of service and false info
injection attacks. The fuzzy attributes for selecting the mentioned attacks ar activity identification, average packet rate,
modification purpose detection algorithmic rule, consume algorithmic rule, unexpired session of users, injected
incomplete information, apply of session key. Associate example state of affairs has been created victimization Op NET
machine. Simulation results depict that the use of Chi-square sight or and FLAC are ready to sight the mentioned cyber
physical attacks with high accuracy. Compared to existing symbolic logic based attack detector, the planned model
outperforms the conventional distributed denial of service and false info detector.