IoT-Based SCADA Systems Security: Detecting and Preventing Cyber- Attacks on Power Systems

Abstract

This Paper Presents a Scaled model For Supervisory Control and Data Acquisition (SCADA) communication network, which monitors and controls power distribution in Critical Infrastructure (CI). The existing power delivery system is vulnerable to both natural disasters and intentional attack. A successful terrorist attempt to disrupt the power delivery system could have adverse effects on national security, the economy, and the lives of every citizen. Secure and reliable operation of the electric system is fundamental to national and international economic systems, security, and quality of life. The Cyber Physical System (CPS)   can be considered as "smart industrial systems," with their most prevalent applications in smart transportation, smart grids, smart medical and e Healthcare systems, and many more. These industrial CPSs mostly utilize Supervisory Control and Data Acquisition (SCADA) systems to control and monitor their Critical Infrastructure (CI). For example, Web SCADA is an application used for smart medical technologies, making improved patient monitoring and more timely decisions possible. The focus of the study presented in this paper is to highlight the security challenges that industrial SCADA systems face in an IoT -cloud environment. The cyber attacks on smart meter are detected using data mapping analysis. We have tried to implement intrusion detection system to protect the database systems with the use of hash map. Hashing technique performs faster than other techniques and results in high performance and high efficiency in detecting the database attacks. Finally, the paper briefly describes future research direction to secure these critical CPSs and results   demonstrate that the proposed MDR approach helps in detecting and preventing the malicious nodes in the network effectively.