Research Database of Water Distribution System Models

Jolly, Matthew D.; Lothes, Amanda; Bryson, L. Sebastian; Ormsbee, Lindell

doi:10.1061/(asce)wr.1943-5452.0000352

Cited by 78 publications

(33 citation statements)

References 15 publications

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“…A. Case-Study Examples 1) Water Distribution System: We use a real-world waterdistribution network from Kentucky, which we obtained from the Water Distribution System Research Database 2 [9]. The topology of this network, which is called KY3 in the database, is shown by Figure 2.…”

Section: Numerical Resultsmentioning

confidence: 99%

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

Lászka¹,

Abbas²,

Vorobeychik³

et al. 2018

2018 IEEE International Conference on Industrial Internet (ICII)

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As the Industrial Internet of Things (IIot) becomes more prevalent in critical application domains, ensuring security and resilience in the face of cyber-attacks is becoming an issue of paramount importance. Cyber-attacks against critical infrastructures, for example, against smart water-distribution and transportation systems, pose serious threats to public health and safety. Owing to the severity of these threats, a variety of security techniques are available. However, no single technique can address the whole spectrum of cyber-attacks that may be launched by a determined and resourceful attacker. In light of this, we consider a multi-pronged approach for designing secure and resilient IIoT systems, which integrates redundancy, diversity, and hardening techniques. We introduce a framework for quantifying cyber-security risks and optimizing IIoT design by determining security investments in redundancy, diversity, and hardening. To demonstrate the applicability of our framework, we present two case studies in water distribution and transportation systems. Our numerical evaluation shows that integrating redundancy, diversity, and hardening can lead to reduced security risk at the same cost.

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Section: Numerical Resultsmentioning

confidence: 99%

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

Lászka¹,

Abbas²,

Vorobeychik³

et al. 2018

2018 IEEE International Conference on Industrial Internet (ICII)

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“…On the other hand, the value of the objective function from (20) forṼ is given by 22) =c. (23) From (23), it follows that the optimal value of (20) is at least c. We now finalize the proof by showing that the optimal value of (20) cannot be lower thanc using contradiction.…”

Section: Appendix: Column Generation Proceduresmentioning

confidence: 87%

A Network Monitoring Game with Heterogeneous Component Criticality Levels

Milošević

Dahan

Amin

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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We consider an attacker-operator game for monitoring a large-scale network that is comprised on components that differ in their criticality levels. In this zero-sum game, the operator seeks to position a limited number of sensors to monitor the network against an attacker who strategically targets a network component. The operator (resp. attacker) seeks to minimize (resp. maximize) the network loss. To study the properties of mixed-strategy Nash Equilibria of this game, we first study two simple instances: (i) When component sets monitored by individual sensor locations are mutually disjoint; (ii) When only a single sensor is positioned, but with possibly overlapping monitoring component sets. Our analysis reveals new insights on how criticality levels impact the players equilibrium strategies. Next, we extend a previously known approach to obtain an approximate Nash equilibrium for the general case of the game. This approach uses solutions to minimum set cover and maximum set packing problems to construct an approximate Nash equilibrium. Finally, we implement a column generation procedure to improve this solution and numerically evaluate the performance of our approach.

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“…Moreover, since each node can be active for σ time slots, each dominating set can remain active for σ time slots. If only one dominating set is active at any time instant, which is sufficient for the complete coverage, then the lifetime of the network achievable through this approach is given by k = σγ (19) time slots, where γ is the domatic number of a graph. The domatic partition problem is known to be NP-hard [25].…”

Section: A Disjoint Dominating Set Based Approachmentioning

confidence: 99%

Scheduling Resource-Bounded Monitoring Devices for Event Detection and Isolation in Networks

Abbas

Lászka

Vorobeychik

et al. 2018

IEEE Trans. Netw. Sci. Eng.

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In networked systems, monitoring devices such as sensors are typically deployed to monitor various target locations. Targets are the points in the physical space at which events of some interest, such as random faults or attacks, can occur. Most often, these devices have limited energy supplies, and they can operate for a limited duration. As a result, energyefficient monitoring of various target locations through a set of monitoring devices with limited energy supplies is a crucial problem in networked systems. In this paper, we study optimal scheduling of monitoring devices to maximize network coverage for detecting and isolating events on targets for a given network lifetime. The monitoring devices considered could remain active only for a fraction of the overall network lifetime. We formulate the problem of scheduling of monitoring devices as a graph labeling problem, which unlike other existing solutions, allows us to directly utilize the underlying network structure to explore the trade-off between coverage and network lifetime. In this direction, first we propose a greedy heuristic to solve the graph labeling problem, and then provide a game-theoretic solution to achieve optimal graph labeling. Moreover, the proposed setup can be used to simultaneously solve the scheduling and placement of monitoring devices, which yields improved performance as compared to separately solving the placement and scheduling problems. Finally, we illustrate our results on various networks, including real-world water distribution networks.

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Research Database of Water Distribution System Models

Cited by 78 publications

References 15 publications

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

A Network Monitoring Game with Heterogeneous Component Criticality Levels

Scheduling Resource-Bounded Monitoring Devices for Event Detection and Isolation in Networks

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