Deep learning algorithm based cyber-attack detection in cyber-physical systems-a survey
N. Valliammal, Barani Shaju · International Journal of Advanced Technology and Engineering Exploration · 2018
IntroductionGenerally, an interconnection of physical systems is known as CPSs which are used for mission-essential tasks.For instance, water management and distribution plants, power grids and autonomous vehicles.Mostly, these systems are connected to support secluded monitoring and control.Due to the improved consequence of communication networks in control systems, the CPSs have supported protection and defence requests.Once those systems are related to the net, they emerge as vulnerable to cyber-attacks.For examples, cyber-attack on a Ukraine power plant in 2016, the Stuxnet malicious program that targeted a nuclear power plant and the insider risk on Australia's Moochy water services that occurred in 2000.Thus, there is a critical necessity for securing such CPSs against those situations given that vulnerabilities in industrial tasks may cause overwhelming consequences to the economic system, public protection and even individual life-style [1].During the past decades, different attack detection and control techniques have conveyed a numerous interest.