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PSAM 16 Conference Paper Overview

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Lead Author: Pavan Kumar Vaddi Co-author(s): Michael C. Pietrykowski, pietrykowski.6@osu.edu; Xiaoxu Diao, diao.38@osu.edu; Yunfei Zhao, zhao.2263@osu.edu; Carol Smidts, smidts.1@osu.edu
Dynamic Probabilistic Risk Assessment for Cyber Security Risk Analysis in Nuclear Reactors
The increasing adaptation of nuclear power plants (NPPs) to incorporate software-based components along with digital communication networks in their operation has resulted in improved control, automation, monitoring and diagnostics, while simultaneously opening those power plants to a new dimension of risk, cyber-attacks. Additionally, the attackers have become more knowledgeable about the vulnerabilities associated with such software systems and network architectures. Hence there is a need to systematically study and quantify the risks associated with cyber-attacks on NPPs and the existing cyber defenses. In this paper we present a dynamic probabilistic risk assessment (DPRA) framework for nuclear power plants in the context of cyber security. In addition to stochastic events such as component failures, the framework implements cyber-attacks along with defenders’ i.e., the plant operators, and the attackers’ behaviors and their interactions in a game theory-based framework. The proposed DPRA framework is demonstrated using the secondary side of a pressurized water reactor (PWR).

Paper VA166 Preview

Author and Presentation Info

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Lead Author Name: Pavan Kumar Vaddi (vaddi.3@osu.edu)

Bio: Mr. PavanKumar Vaddi is a mechanical engineering grad student working in the Reliability and Risk Laboratory headed by Dr. Carol Smidts at The Ohio State University. He received his B.Tech degree in mechanical engineering from IIT Madras in 2017. His research interests include Probabilistic Risk Assessment for ICS cybersecurity and Fault diagnosis in industrial control systems.

Country: United States of America
Company: Ohio State University
Job Title: Student

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