Network Throughput and Reliability: Preventing Hazards and Attacks Through Gaming—Part I: Modeling

Chan, Yupo

doi:10.1007/978-3-319-13009-5_5

Cited by 6 publications

(4 citation statements)

References 30 publications

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“…Vahidnia et al (2013) implemented a geographic agent-based model to simulate agent interaction finding the best forms of evacuation and relief when in the wake of a hazard. Chan (2015) simulated a game theory inspired network for predicting mitigation strategies per hazard or attack. The players in this scenario are federal, local, and foreign governments, private citizens, and adaptive adversaries.…”

Section: Game Theory Modelingmentioning

confidence: 99%

Computational models of community resilience

et al. 2021

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Protecting civil infrastructure from natural and man-made hazards is vital. Understanding the impact of these hazards helps allocate resources efficiently. Researchers have recently proposed static and dynamic computational models for community resilience analyses to evaluate a community's ability to recover after a disruptive event. Yet, these frameworks still need to adequately address community interdependencies and consider the impact of decision-making in modeling. This paper presents a state-of-the-art review of computational methods to model community resilience, focusing on the last ten years. It addresses critical terminology, community interdependencies, and current resilience guides within community resilience comprehension and discusses static and dynamic computational models, including probabilistic modeling in uncertain environments, rating models for community resilience assessment, 2 optimization-based modeling for resilient community design, game theory, agent-based, and probabilistic dynamical modeling. This paper presents key findings of promising research for future directions in the community resilience field.

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Section: Game Theory Modelingmentioning

confidence: 99%

Computational models of community resilience

et al. 2021

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“…Going beyond the conventional approach in the literature, the shared cognition-based model implies soft factors in the mathematical formulation, which explains the role of information in the team and organizational performance [21]. One aspect of shared cognition is the defender's deception, which is the actions executed to mislead the adversary deliberately.…”

Section: Introductionmentioning

confidence: 99%

A novel approach in strategic planning of power networks against physical attacks

Davarikia

Barati

Alassad

et al. 2020

Electric Power Systems Research

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The reported work points at developing a practical approach for power transmission planners to secure power networks from potential deliberate attacks. We study the interaction between a system planner (defender) and a rational attacker who threatens the operation of power grid. In addition to the commonly used hardening strategy for protecting the network, a new sort of resources is introduced under the deception concept. Feint and deception are acknowledged as effective tools for misleading the attacker in strategic planning. To this end, the defender deception is mathematically formulated by releasing misinformation about his plan in the shared cognition-based model. To reduce the risk of damage in case of deception failure, preemptive-goal programming is utilized to prioritize the hardening strategy for the vital components. Furthermore, the "value of posturing" is introduced which is the benefits that the deception brings to the system. The problems are formulated as tri-level mixedinteger linear programming and solved by constraint-and-column generation method. Comprehensive simulation studies performed on WSCC 9-bus and IEEE 118-bus systems indicate how the defender will save significant cost from protecting his network with posturing rather than hardening and the proposed approach is a promising development to ensure the secure operation of power networks.

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“…Improving power systems reliability against such risks can be achieved through the resource allocation models, which seek to maximize statistical-reliability of the system [23]. The system's statistical-reliability is the probability that a source-tosink path exists in a system at a particular time instant, given the network is only subject to statistical failures [24].…”

Section: Introductionmentioning

confidence: 99%

Budget Allocation for Power Networks Reliability Improvement: Game-Theoretic Approach

Davarikia

Barati

Chan

et al. 2019

2019 IEEE Texas Power and Energy Conference (TPEC)

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Budget allocation for power system reliability improvement is considered among the sophisticated problems because of its nonlinear nature. This nonlinearity makes the problem intractable for large-scale power systems. This paper compares two approaches for budget allocation for power system reliability improvement. The first method is the traditional one, which suffers from the non-convexity and nonlinearity. In the second approach, a linear zero-sum mixed-strategy game is proposed where a limited budget is allocated among the network elements based on the game variables along with an iterative algorithm to find the solution. Both models are applied to the modified RTBS system. The results show that while each strategy adopts a different tactic for reliability improvement, both strategies improve the system reliability to the same level for a given budget.

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Network Throughput and Reliability: Preventing Hazards and Attacks Through Gaming—Part I: Modeling

Cited by 6 publications

References 30 publications

Computational models of community resilience

Computational models of community resilience

A novel approach in strategic planning of power networks against physical attacks

Budget Allocation for Power Networks Reliability Improvement: Game-Theoretic Approach

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