Visible to the public Cyber Risks Assessment For Intelligent And Non-Intelligent Attacks In Power System

TitleCyber Risks Assessment For Intelligent And Non-Intelligent Attacks In Power System
Publication TypeConference Paper
Year of Publication2019
AuthorsSheela, A., Revathi, S., Iqbal, Atif
Conference Name2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)
Date Publishedaug
Keywordsattacks, Cyber Attacks, cyber physical performance, Cyber physical system, cyber security, cyber security risk assessment method, Damage Assessment, electrical network, IEEE39 bus system, intelligent attack, nonintelligent attacks, Petri nets, Petrinet, power engineering computing, power supply, power system components, power system security, power system structure, power transmission lines, power transmission protection, probability, pubcrawl, Resiliency, risk, security of data, smart power grid, smart power grids, stochastic petri nets, Stochastic processes, substation, substation automation, transmission line protection systems
AbstractSmart power grid is a perfect model of Cyber Physical System (CPS) which is an important component for a comfortable life. The major concern of the electrical network is safety and reliable operation. A cyber attacker in the operation of power system would create a major damage to the entire power system structure and affect the continuity of the power supply by adversely changing its parameters. A risk assessment method is presented for evaluating the cyber security assessment of power systems taking into consideration the need for protection systems. The paper considers the impact of bus and transmission line protection systems located in substations on the cyber physical performance of power systems. The proposed method is to simulate the response of power systems to sudden attacks on various power system preset value and parameters. This paper focuses on the cyber attacks which occur in a co-ordinated way so that many power system components will be in risk. The risk can be modelled as the combined probability of power system impact due to attacks and of successful interruption into the system. Stochastic Petri Nets is employed for assessing the risks. The effectiveness of the proposed cyber security risk assessment method is simulated for a IEEE39 bus system.
Citation Keysheela_cyber_2019