Visible to the public Biblio

Filters: Author is Farzan, F.  [Clear All Filters]
2015-05-01
Farzan, F., Jafari, M.A., Wei, D., Lu, Y..  2014.  Cyber-related risk assessment and critical asset identification in power grids. Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES. :1-5.

This paper proposes a methodology to assess cyber-related risks and to identify critical assets both at power grid and substation levels. The methodology is based on a two-pass engine model. The first pass engine is developed to identify the most critical substation(s) in a power grid. A mixture of Analytical hierarchy process (AHP) and (N-1) contingent analysis is used to calculate risks. The second pass engine is developed to identify risky assets within a substation and improve the vulnerability of a substation against the intrusion and malicious acts of cyber hackers. The risk methodology uniquely combines asset reliability, vulnerability and costs of attack into a risk index. A methodology is also presented to improve the overall security of a substation by optimally placing security agent(s) on the automation system.

Farzan, F., Jafari, M.A., Wei, D., Lu, Y..  2014.  Cyber-related risk assessment and critical asset identification in power grids. Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES. :1-5.

This paper proposes a methodology to assess cyber-related risks and to identify critical assets both at power grid and substation levels. The methodology is based on a two-pass engine model. The first pass engine is developed to identify the most critical substation(s) in a power grid. A mixture of Analytical hierarchy process (AHP) and (N-1) contingent analysis is used to calculate risks. The second pass engine is developed to identify risky assets within a substation and improve the vulnerability of a substation against the intrusion and malicious acts of cyber hackers. The risk methodology uniquely combines asset reliability, vulnerability and costs of attack into a risk index. A methodology is also presented to improve the overall security of a substation by optimally placing security agent(s) on the automation system.

2015-05-06
Farzan, F., Jafari, M.A., Wei, D., Lu, Y..  2014.  Cyber-related risk assessment and critical asset identification in power grids. Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES. :1-5.

This paper proposes a methodology to assess cyber-related risks and to identify critical assets both at power grid and substation levels. The methodology is based on a two-pass engine model. The first pass engine is developed to identify the most critical substation(s) in a power grid. A mixture of Analytical hierarchy process (AHP) and (N-1) contingent analysis is used to calculate risks. The second pass engine is developed to identify risky assets within a substation and improve the vulnerability of a substation against the intrusion and malicious acts of cyber hackers. The risk methodology uniquely combines asset reliability, vulnerability and costs of attack into a risk index. A methodology is also presented to improve the overall security of a substation by optimally placing security agent(s) on the automation system.