Modeling for Existing Nuclear Power Plant Security Regime

Osborn, Douglas; Jordan, Parks, Mancel; A, Knudsen, Ryan; Ross, Kyle; Faucett, Christopher; Haskin, Troy Christopher; Constantine, Kitsos, Panayioti; Noel, Todd; Cohn, Brian

doi:10.2172/1570399

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LPNPP facility operates continuously and consists of a pressurized water reactor, a primary coolant loop, a closed separate power conversion system, steam turbines, and several supporting buildings. The notional security system associated with LPNPP consists of detection (e.g., sensors, cameras, and monitors), delay (e.g., fences, reinforced doors, and vaults), and response (e.g., posted and patrolling guards) features commensurate with international best practices for protecting nuclear plants (Osborn, et al 2019).…”

Section: Demonstrating Security Orchestration With Multilayer Network...mentioning

confidence: 99%

Multilayer Network Models for Coordinating Orchestration of Systems Security Engineering

Williams

Birch

Caskey

et al. 2022

INCOSE International Symp

View full text Add to dashboard Cite

Systems security engineering (SSE) faces new internal (e.g., increased digitization) and external (e.g., adversary capabilities) obstacles as systems increase in complexity and are deployed to increasingly challenging operating environments. Legacy approaches heavily rely on individual, physical, digital, or personnel domain‐specific strategies for security. Such segmented responses helped initiate efforts by the INCOSE systems security working group to identify fundamental elements of SSE. One of these fundamental elements is security orchestration, where the SSE goal is to coordinate between previously disparate security solutions. Multilayer network‐based approaches seemingly provide the logical structure and mathematical foundation to conduct security orchestration for “tightly coupled coordinated system defense in cyber‐relevant time.” Within multilayer networks, the ability to identify and manipulate cross‐domain (e.g., intralayer) connections that influence security performance measures demonstrates an enhanced level of security orchestration. As such, multilayer networks support the future of SSE efforts to mitigate real‐world complexities, innovative adversaries, and disruptive technologies. After describing security orchestration as a concept and foundational element, this paper explores how multilayer network models can enhance orchestration systems security engineering. Additionally, a demonstration case of systems security for a high consequence facility (as a complex system) is followed insights and implications for incorporating orchestration in the future of systems security.

show abstract

Section: Demonstrating Security Orchestration With Multilayer Network...mentioning

confidence: 99%

Multilayer Network Models for Coordinating Orchestration of Systems Security Engineering

Williams

Birch

Caskey

et al. 2022

INCOSE International Symp

View full text Add to dashboard Cite

show abstract

“…Dynamic PRA allows for human behaviors in the form of repeated fault trees that both accommodate the uncertainty of the timing of human factors and allows the consequence(s) to progress in time more realistically. For example, Sandia National Laboratories (SNL), in support of the LWRS Program, coupled a force-on-force physical security model with a generic MELCOR reactor system model via DPRA methodology (Osborn et al, 2019). This expansion of PRA philosophy incorporates an additional level of realism reflecting adversarial human actions at a nuclear power plant and offering a new risk-informed assessment of physical security.…”

Section: Motivation For Dynamic Modelsmentioning

confidence: 99%

Dynamic PRA Prospects for the Nuclear Industry

Wiltbank

Palmer

2021

Front. Energy Res.

View full text Add to dashboard Cite

This review paper highlights approaches and tools available to the nuclear industry for dynamic probabilistic risk assessment (DPRA) using dynamic event trees. DPRA is an emerging methodology that has advantages as compared to traditional, static PRA predominantly owing to the addition of time dependent modeling. Traditional PRAs predefine events and outcomes into Event Trees (ET) and Fault Trees (FT), that are coupled with various combinations of Initiating Events (IE), Top Events (TE), branches, end states and sequences. A more complete depiction of the system and accident progression behavior can be quantified using DPRA to account for dynamic events such as those involving human actions. This paper discusses the strengths and needs of existing DPRA tools to align with the risk informed methodology currently used in the nuclear industry. DPRA is evolving during an exciting time in the nuclear industry with emerging advanced reactor designs also coming on the scene. Advanced nuclear (Gen IV) designs often incorporate passively safe systems that have less readily available data for traditional PRA due to their limited operating history. DPRA is a promising methodology that can address this challenge and demonstrate to the regulatory bodies and public that advanced designs operate within safety margins. In this light, the paper considers the historical role of PRA in the nuclear industry and motivation for considering dynamic PRA models. An introduction to the differences inherent in DPRA and how it complements and enhances existing PRA approaches is discussed. Additionally, a review of research from U.S national laboratories and universities features recent DPRA tool advancements that could be applied in the nuclear industry. These DPRA approaches and tools are summarized and examined to thoughtfully provide a path forward to best leverage existing research and integrate DPRA into advanced reactor design and analysis.

show abstract

Modeling for Existing Nuclear Power Plant Security Regime

Cited by 2 publications

References 0 publications

Multilayer Network Models for Coordinating Orchestration of Systems Security Engineering

Multilayer Network Models for Coordinating Orchestration of Systems Security Engineering

Dynamic PRA Prospects for the Nuclear Industry

Contact Info

Product

Resources

About