New Genetic Algorithm Based Intrusion Detection System for SCADA

Securing SCADA systems is a critical aspect of industrial systems. Industrial systems have installations which actively using the public network in order to provide new features and services which make the system unsecured .By introducing a filtering system, we can analyse the critical state of the system which can be monitored and secure SCADA network protocols. But in this approach, there is no mathematical method for calculating filter parameters for DDOS, R2L, U2R attacks. In this paper, we present a new genetic algorithm based approach for calculating those parameters to make the system more secure.