TECHNIQUE FOR MULTILAYER PROTECTION FROM QUANTIFIABLE VULNERABILITIES IN INDUSTRIAL CYBER PHYSICAL SYSTEM

摘要

#$%^&*AU2020102142A420201015.pdf#####TECHNIQUE FOR MULTILAYER PROTECTION FROM QUANTIFIABLE VULNERABILITIES IN INDUSTRIAL CYBER PHYSICAL SYSTEM ABSTRACT The cybersecurity for industries has been elevated in recent years due to the rapid increase of attacks against the cyber-physical system. The Recent efforts of industrial control system (ICS) cybersecurity are currently based on the firewalls, unidirectional security gateway (data diode), and methods of intrusion prevention, which is not adequate for the rapid growth of cyber threats from the attackers. A cyber-attack detection system is needed to improve the cybersecurity for industries. The development of a detection system utilizes the network traffic data, host system data, and some process parameters to improve the cybersecurity ofindustries. The detection system will provide multilayer protection to save the time of protectors before the occurrence of problems in the physical system. The real-time dataset of the industrial control system may be used for the proposed detection method. Various forms of attacks need to be carried out to recognize the value of cyber-attack and to produce data for models of identification. Different classification models are expected based on network data and host device data to secure the secondary line of cyberattack detection during intrusion-prevention layer failure. In the suggested detection method, the regression model is used to improve the early attack detection framework. The Industrial Control System (ICS) Security Approach uses network data, device data, and multilayer cyber-attack identification system process data. 1| P a g e