Revision of the Tennessee Eastman Process Model

Bathelt, Andreas; Ricker, N. Lawrence; Jelali, Mohieddine

doi:10.1016/j.ifacol.2015.08.199

Cited by 271 publications

(134 citation statements)

References 3 publications

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“…We resort to the simulation model in [24] to quantify monetary losses of the TE process under sensor compromises. The TE process involves two irreversible reactions to produce two liquid (liq) products G, H from four gaseous (g) reactants A,C, D, E as shown in Fig.…”

Section: Final Stagementioning

confidence: 99%

A dynamic games approach to proactive defense strategies against Advanced Persistent Threats in cyber-physical systems

Huang

Zhu

2020

Computers & Security

101

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Advanced Persistent Threats (APTs) have recently emerged as a significant security challenge for Cyber-Physical Systems (CPSs) due to APTs' stealthy, dynamic and adaptive nature. The proactive dynamic defense provides a strategic and holistic security mechanism to increase costs of attacks and mitigate risks. This work proposes a dynamic game framework to model the long-term interaction between the stealthy attacker and the proactive defender. The stealthy and deceptive behaviors are captured by the multistage game of incomplete information, where each player has his own private information unknown to the other. Both players act strategically according to their beliefs which are formed by multistage observation and learning. The solution concept of Perfect Bayesian Nash Equilibrium (PBNE) provides a useful prediction of both players' policies because no players benefit from unilateral deviations from the equilibrium. We propose an iterative algorithm to compute the PBNE and use Tennessee Eastman process as a benchmark case study. Our numerical experiment corroborates the analytical results and provides further insights into the design of proactive defense-in-depth strategies.

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Section: Final Stagementioning

confidence: 99%

A dynamic games approach to proactive defense strategies against Advanced Persistent Threats in cyber-physical systems

Huang

Zhu

2020

Computers & Security

101

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“…The latest version of Eastman Tennessee simulator and its presented data, which is available in [30], have been used to simulate. In addition, up to date, there is another main reason to use this material is that both simulator and data are available on this site.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Finally, a fault-tolerant active control approach is proposed to combine output results. The importance of this research is from actual data of the TE process and complete simulation in MATLAB to detect four faults (which there is concurrency possibility for two of them) and five different working modes in the system as real-time by the fuzzy-neural fusion classifier and compare classification results with the presented sample in other reliable materials [18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

High efficiency fault-detection and fault-tolerant control approach in Tennessee Eastman process via fuzzy-based neural network representation

Adeli

Mazinan

2019

Complex Intell. Syst.

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We looked at the background of fault-detection and fault-tolerant control algorithms to propose a new high efficiency one with a focus on Tennessee Eastman process through fuzzy-based neural network representation. Due to the fact that the openloop system may not be stabilized, an advanced control strategy to generate proper control signals needs to be designed. At first, to detect and identify the fault, data preprocessing theories have been considered. Based upon the matter disclosed, to provide a reliable decision-maker block, fusion classifier idea has been realized. For this one, raw data, time, and frequency characteristics are divided into various classification tools and finally the obtained knowledge combination regarding each one of them is adopted. It should be noted that the proposed implementation tools are taken into real consideration as the fuzzy-based neural network representation. Subsequently, the fault-tolerant control approach based on local controller regulation in case of each fault occurrence has been researched, which the investigated outcomes emphasize the effectiveness of the approach proposed here.

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“…Then attackers can revise the reading to drive the system away from the reference point. Define a reward function r a : X T → R, then r a (x T ) will be the operation utility of the TE process under the state x T , which can be obtained from the simulation results of the process model [1]. We rank the output value of the function r a from high to low and index the states correspondingly, e.g., x T = 1 indicates the compromise of a secondary sensor and x T = 5 indicates the compromise of all the sensors in the TE process.…”

Section: Case Studymentioning

confidence: 99%

“…To investigate the effect of the defender's belief, we fix the system state x T = 3 and change the belief state (α T , β T ) from (9, 1) to (1,9), which means that the defender grows optimistically that the user is of a low threat level with a high probability. Since players' value functions are of different scales in terms of the attacking threshold and the probability, we normalize the value functions with respect to their maximum values to illustrate their trends and make them comparable to the threshold and the probability as shown in Fig.…”

Section: Case Studymentioning

confidence: 99%

Adaptive Strategic Cyber Defense for Advanced Persistent Threats in Critical Infrastructure Networks

Huang

Zhu

2019

SIGMETRICS Perform. Eval. Rev.

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Advanced Persistent Threats (APTs) have created new security challenges for critical infrastructures due to their stealthy, dynamic, and adaptive natures. In this work, we aim to lay a game-theoretic foundation by establishing a multi-stage Bayesian game framework to capture incomplete information of deceptive APTs and their multistage multi-phase movement. The analysis of the perfect Bayesian Nash equilibrium (PBNE) enables a prediction of attacker's behaviors and a design of defensive strategies that can deter the adversaries and mitigate the security risks. A conjugate-prior method allows online computation of the belief and reduces Bayesian update into an iterative parameter update. The forwardly updated parameters are assimilated into the backward dynamic programming computation to characterize a computationally tractable and timeconsistent equilibrium solution based on the expanded state space. The Tennessee Eastman (TE) process control problem is used as a case study to demonstrate the dynamic game under the information asymmetry and show that APTs tend to be stealthy and deceptive during their transitions in the cyber layer and behave aggressively when reaching the targeted physical plant. The online update of the belief allows the defender to learn the behavior of the attacker and choose strategic defensive actions that can thwart adversarial behaviors and mitigate APTs. Numerical results illustrate the defender's tradeoff between the immediate reward and the future expectation as well as the attacker's goal to reach an advantageous system state while making the defender form a positive belief.

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Revision of the Tennessee Eastman Process Model

Cited by 271 publications

References 3 publications

A dynamic games approach to proactive defense strategies against Advanced Persistent Threats in cyber-physical systems

A dynamic games approach to proactive defense strategies against Advanced Persistent Threats in cyber-physical systems

High efficiency fault-detection and fault-tolerant control approach in Tennessee Eastman process via fuzzy-based neural network representation

Adaptive Strategic Cyber Defense for Advanced Persistent Threats in Critical Infrastructure Networks

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