4.6 Review

Cybersecurity in process control, operations, and supply chain

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Fault detection and diagnosis to enhance safety in digitalized process system

Alibek Kopbayev et al.

Summary: This study proposes a hybrid model combining kPCA and DNNs for fault detection and diagnosis in various processes. The results show that the model improves classification accuracy and reduces training time.

COMPUTERS & CHEMICAL ENGINEERING (2022)

Article Computer Science, Interdisciplinary Applications

Myths and misconceptions of data-driven methods: Applications to process safety analysis

He Wen et al.

Summary: With the rapid digitization of processes, data-driven methods are increasingly used in process safety analysis. However, the use of these methods is accompanied by myths and misconceptions that can lead to significant errors. This study analyzed 500 articles and found that most of the myths are related to improper data representation, lack of appropriate assumptions, and limited understanding of method limitations.

COMPUTERS & CHEMICAL ENGINEERING (2022)

Article Computer Science, Information Systems

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

Bimal Ghimire et al.

Summary: This article discusses the decentralized paradigm in the field of cybersecurity and machine learning for the emerging Internet of Things (IoT). It highlights the concept of federated cybersecurity (FC) and the application of federated learning (FL) in securing the IoT environment. The article also explores the performance issues and future research trends in this area.

IEEE INTERNET OF THINGS JOURNAL (2022)

Article Engineering, Chemical

Detectability-based controller design screening for processes under multiplicative cyberattacks

Shilpa Narasimhan et al.

Summary: Cyberattacks on process control systems can compromise data integrity and have severe consequences, making detection and mitigation essential. The detectability of an attack depends on the attack detection scheme used and the design of the PCS.

AICHE JOURNAL (2022)

Article Computer Science, Interdisciplinary Applications

A holistic framework for process safety and security analysis

Md. Tanjin Amin et al.

Summary: System safety analysis is crucial for preventing losses, and it is necessary to consider both safety and security-related risks. This work proposes a holistic framework utilizing Bayesian network model for real-time risk analysis, examines four scenarios, and concludes that the framework provides better understanding and analysis capabilities.

COMPUTERS & CHEMICAL ENGINEERING (2022)

Article Automation & Control Systems

Active multiplicative cyberattack detection utilizing controller switching for process systems

Shilpa Narasimhan et al.

Summary: This study analyzes multiplicative cyberattacks manipulating data in process control systems and proposes a novel active attack detection methodology to enhance the attack detection capabilities without significant degradation in the attack-free closed-loop performance.

JOURNAL OF PROCESS CONTROL (2022)

Article Engineering, Chemical

A control-switching approach for cyberattack detection in process systems with minimal false alarms

Shilpa Narasimhan et al.

Summary: This study presents an active detection method using control mode switching to balance closed-loop performance and attack detectability, effectively detecting and minimizing false alarms.

AICHE JOURNAL (2022)

Article Computer Science, Interdisciplinary Applications

A methodology to assess human-automated system conflict from safety perspective

He Wen et al.

Summary: Most automated systems have two intelligent decision-makers: humans and automated machines. Conflicts between these decision-makers can lead to accidents, but the definitions, causes, and paths of such conflicts have not been explored. This study introduces an evolutionary framework and a methodology to assess and manage conflict risk. The results suggest that faults can trigger conflicts and system failures.

COMPUTERS & CHEMICAL ENGINEERING (2022)

Article Engineering, Chemical

Dynamic Process Safety Assessment Using Adaptive Bayesian Network with Loss Function

Md. Tanjin Amin et al.

Summary: Fault detection and diagnosis is crucial for dynamic process safety analysis. This study proposes a methodology that integrates different techniques to overcome the challenges posed by nonlinear, non-Gaussian, and multimodal behaviors of processing systems. The methodology aims to detect abnormal process operations, predict dynamic operational risk, and diagnose the root cause of abnormal situations. The proposed framework combines artificial neural networks, Bayesian networks, event trees, and inverted normal loss functions to model and assess faults and their effects on process failures.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2022)

Proceedings Paper Automation & Control Systems

Test Methods for Image-Based Information in Next-Generation Manufacturing

Henrique Oyama et al.

Summary: Digitalization is changing manufacturing and image-based sensing is gaining interest for plant control. Novel test/evaluation solutions are needed for evaluating image-based technologies in process systems.

IFAC PAPERSONLINE (2022)

Proceedings Paper Automation & Control Systems

Actuator Cyberattack Handling Using Lyapunov-based Economic Model Predictive Control

Keshav Kasturi Rangan et al.

Summary: This study focuses on the impact of cyberattacks on actuators and proposes a detection and control strategy based on optimization control techniques to ensure the stability of actuator control when the state measurements are accurate.

IFAC PAPERSONLINE (2022)

Proceedings Paper Automation & Control Systems

Quantum Computing and Resilient Design Perspectives for Cybersecurity of Feedback Systems

Keshav Kasturi Rangan et al.

Summary: Cybersecurity of control systems is crucial in next-generation manufacturing, impacting operational objectives and process designs. Unlike faults, cyberattacks exploit system vulnerabilities to create unlikely hazard scenarios. This study reveals the interaction between errors in quantum hardware and control system cybersecurity, leading to non-deterministic outputs.

IFAC PAPERSONLINE (2022)

Article Biotechnology & Applied Microbiology

Lyapunov-Based Economic Model Predictive Control for Detecting and Handling Actuator and Simultaneous Sensor/Actuator Cyberattacks on Process Control Systems

Henrique Oyama et al.

Summary: This study discusses methods for handling sensor measurement attacks and actuator signal attacks on cyber-physical systems. Despite their differences, these attacks can be addressed by extending and combining prior methods, ensuring safety in cases where both types of attacks occur simultaneously.

FRONTIERS IN CHEMICAL ENGINEERING (2022)

Article Management

Attacker-defender model against quantal response adversaries for cyber security in logistics management: An introductory study

Kam-Fung Cheung et al.

Summary: Interest in cyber security in logistics and supply chain management has increased, but academic research in this area lags behind. The logistics industry is increasingly implementing IoT technologies to improve efficiency, but faces security threats from cyberspace. This paper proposes an attacker-defender model against a QR adversary to protect critical assets, considering defense budget and asset dependency.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

Article Food Science & Technology

Food Supply Chains as Cyber-Physical Systems: a Path for More Sustainable Personalized Nutrition

Sergiy Smetana et al.

Summary: The current food system has evolved greatly due to the development of processing and food engineering technologies. Emerging processing technologies and novel food systems aim to challenge existing chains by developing potentially more nutritious and sustainable solutions. However, the low technology readiness levels of new food systems make it challenging to assess their potential future benefits or drawbacks due to the lack of integrated data.

FOOD ENGINEERING REVIEWS (2021)

Article Engineering, Chemical

Cyber-security of centralized, decentralized, and distributed control-detector architectures for nonlinear processes

Scarlett Chen et al.

Summary: This research investigates the impact of different types of cyber-attacks on nonlinear processes under centralized, decentralized, and distributed control systems, and analyzes the robustness of decentralized control architecture. A machine-learning-based detector is trained to monitor cyber security, and feed-forward neural networks are utilized to detect and identify attacks. The study demonstrates the effectiveness of decentralized control architectures and neural-network detection scheme in maintaining system stability.

CHEMICAL ENGINEERING RESEARCH & DESIGN (2021)

Article Engineering, Industrial

Analysis of Cybersecurity-related Incidents in the Process Industry

Matteo Iaiani et al.

Summary: This study investigates cybersecurity-related incidents in the process industry and similar industrial sectors, aiming to provide a clear picture of the impact of cyber-attacks on automated control systems and to draw lessons from past events.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Review Computer Science, Interdisciplinary Applications

An analysis of process fault diagnosis methods from safety perspectives

Rajeevan Arunthavanathan et al.

Summary: Industry 4.0 provides significant opportunities for a safer environment through online monitoring, early fault detection, and preventing fault transitions to failures. Decision-making is crucial in abnormal situation management, and assigning risk based on consequences can provide additional information to prevent accidents. This paper analyzes the interconnections between fault detection and diagnosis (FDD), risk assessment (RA), and abnormal situation management (ASM) in process safety, discussing research directions for Industry 4.0.

COMPUTERS & CHEMICAL ENGINEERING (2021)

Article Engineering, Environmental

A novel integrated framework for fault diagnosis with application to process safety

Lahouari Cheded et al.

Summary: A novel integrated framework for Fault Detection and Isolation (FDI) is proposed, combining model-free and model-based approaches for process safety. The faster FDI scheme quickly provides critical fault information, while the slower FDI scheme sequentially reveals more accurate subsystem states, and a final decision on fault status is made using a weighted Bayes classifier fusion scheme.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)

Article Economics

Cybersecurity in logistics and supply chain management: An overview and future research directions

Kam-Fung Cheung et al.

Summary: The use of technology has improved the services in the logistics industry, but it has also increased the vulnerability to cyber attacks. Most studies focus on preventive measures rather than real-time recovery. There is a lack of research on cybersecurity in logistics and supply chain management using real data and quantitative research approaches.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2021)

Article Computer Science, Interdisciplinary Applications

Optimization of extended business processes in digital supply chains using mathematical programming

Hector D. Perez et al.

Summary: This study proposes a mathematical programming approach to optimize business process transactions in digital supply chains, comparing five scheduling models in a simplified Order-To-Cash process. The discrete-time State-Task Network (STN) model proves to be the most efficient for flexible jobshop representations of the OTC process.

COMPUTERS & CHEMICAL ENGINEERING (2021)

Article Economics

The effect of the Colonial Pipeline shutdown on gasoline prices

Tsvetan Tsvetanov et al.

Summary: The Colonial Pipeline system was shut down for 6 days due to a cyberattack on May 7, 2021. This led to a 4-cent-per-gallon increase in average gasoline prices in affected areas, with varying impacts depending on access to alternative means of fuel supply, persisting even after the pipeline reopened.

ECONOMICS LETTERS (2021)

Article Computer Science, Information Systems

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

Sawsan AbdulRahman et al.

Summary: Driven by privacy concerns and deep learning visions, a paradigm shift has occurred in the applicability mechanism of machine learning (ML) over the past four years. A new model called federated learning (FL) has emerged as a privacy-preserving decentralized approach that involves local ML training and eliminates data communication overhead. This article explores and compares various ML-based deployment architectures, with a focus on in-depth investigation of FL, providing a new classification of FL topics and research fields based on analysis of technical challenges and current work in the field.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Engineering, Chemical

Integrated cyberattack detection and handling for nonlinear systems with evolving process dynamics under Lyapunov-based economic model predictive control

Keshav Kasturi Rangan et al.

Summary: The paper discusses the challenges of developing control strategies in safety-critical processes facing uncertainty, and introduces cyberattack detection strategies for nonlinear processes, as well as the concept of Taylor series-based models.

CHEMICAL ENGINEERING RESEARCH & DESIGN (2021)

Article Education, Scientific Disciplines

Process safety concerns in process system digitalization

Faisal Khan et al.

Summary: The use of digital solutions in process operations is becoming more accepted, but safety concerns must be addressed when adopting digitalization. Teaching evolving process safety issues in the classroom to train future chemical engineers is a challenge with an opportunity to bridge the gap between education and practice. Incorporating digital process safety into the chemical engineering curriculum is crucial to address the industry's emphasis on digital solutions in process operations.

EDUCATION FOR CHEMICAL ENGINEERS (2021)

Article Automation & Control Systems

Encrypted Control for Networked Systems AN ILLUSTRATIVE INTRODUCTION AND CURRENT CHALLENGES

Moritz Schulze Darup et al.

Summary: Control systems are evolving rapidly to utilize modern tools, with encrypted control addressing security gaps and ensuring confidentiality of processed data in the control loop. This article provides a tutorial-style introduction to the emerging field of secure control for networked dynamical systems with encrypted data.

IEEE CONTROL SYSTEMS MAGAZINE (2021)

Article Computer Science, Information Systems

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

Latif U. Khan et al.

Summary: The Internet of Things will benefit from novel machine learning algorithms for network and application management. Federated learning presents a promising solution for on-device machine learning without data migration to the central cloud. While offering better privacy preservation, federated learning still raises privacy concerns.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)

Article Engineering, Chemical

A cyber-secure control-detector architecture for nonlinear processes

Scarlett Chen et al.

AICHE JOURNAL (2020)

Article Computer Science, Interdisciplinary Applications

Cyber-attack detection and resilient operation of nonlinear processes under economic model predictive control

Scarlett Chen et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

Article Engineering, Chemical

Post cyber-attack state reconstruction for nonlinear processes using machine learning

Zhe Wu et al.

CHEMICAL ENGINEERING RESEARCH & DESIGN (2020)

Article Engineering, Industrial

A survey of optimization models and methods for cyberinfrastructure security

Forough Enayaty-Ahangar et al.

IISE TRANSACTIONS (2020)

Article Computer Science, Interdisciplinary Applications

Feature engineering in big data analytics for IoT-enabled smart manufacturing - Comparison between deep learning and statistical learning

Devarshi Shah et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

Article Computer Science, Information Systems

Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions

Theresa Sobb et al.

ELECTRONICS (2020)

Article Engineering, Multidisciplinary

The game-theoretic model and experimental investigation of cyber wargaming

Edward J. M. Colbert et al.

JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS (2020)

Review Telecommunications

A systematic literature review of blockchain cyber security

Paul J. Taylor et al.

DIGITAL COMMUNICATIONS AND NETWORKS (2020)

Review Business

Managing cyber risk in supply chains: a review and research agenda

Abhijeet Ghadge et al.

SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL (2020)

Article Automation & Control Systems

Detection and mitigation of actuator attacks on small unmanned aircraft systems

Devaprakash Muniraj et al.

CONTROL ENGINEERING PRACTICE (2019)

Article Computer Science, Interdisciplinary Applications

Operational safety of chemical processes via Safeness-Index based MPC: Two large-scale case studies

Zhihao Zhang et al.

COMPUTERS & CHEMICAL ENGINEERING (2019)

Article Automation & Control Systems

Multilayer Data-Driven Cyber-Attack Detection System for Industrial Control Systems Based on Network, System, and Process Data

Fan Zhang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

Article Computer Science, Interdisciplinary Applications

Petri-net based attack time analysis in the context of chemical process security

Jianfeng Zhou et al.

COMPUTERS & CHEMICAL ENGINEERING (2019)

Article Engineering, Chemical

The promise of artificial intelligence in chemical engineering: Is it here, finally?

Venkat Venkatasubramanian

AICHE JOURNAL (2019)

Article Computer Science, Hardware & Architecture

Cybersecurity in industrial control systems: Issues, technologies, and challenges

Muhammad Rizwan Asghar et al.

COMPUTER NETWORKS (2019)

Article Computer Science, Interdisciplinary Applications

Integrating operations and control: A perspective and roadmap for future research

Prodromos Daoutidis et al.

COMPUTERS & CHEMICAL ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

Process operational safety via model predictive control: Recent results and future research directions

Fahad Albalawi et al.

COMPUTERS & CHEMICAL ENGINEERING (2018)

Review Engineering, Electrical & Electronic

Cyber security of a power grid: State-of-the-art

Chih-Che Sun et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

Article Automation & Control Systems

Safe economic model predictive control of nonlinear systems

Zhe Wu et al.

SYSTEMS & CONTROL LETTERS (2018)

Article Automation & Control Systems

Towards Encrypted MPC for Linear Constrained Systems

Moritz Schulze Darup et al.

IEEE CONTROL SYSTEMS LETTERS (2018)

Article Engineering, Electrical & Electronic

Dynamic Watermarking: Active Defense of Networked Cyber-Physical Systems

Bharadwaj Satchidanandan et al.

PROCEEDINGS OF THE IEEE (2017)

Article Communication

Blockchain's roles in strengthening cybersecurity and protecting privacy

Nir Kshetri

TELECOMMUNICATIONS POLICY (2017)

Article Computer Science, Interdisciplinary Applications

Process operational safety using model predictive control based on a process Safeness Index

Fahad Albalawi et al.

COMPUTERS & CHEMICAL ENGINEERING (2017)

Proceedings Paper Computer Science, Hardware & Architecture

Anomaly Detection in Cyber Physical Systems using Recurrent Neural Networks

Jonathan Goh et al.

2017 IEEE 18TH INTERNATIONAL SYMPOSIUM ON HIGH ASSURANCE SYSTEMS ENGINEERING (HASE 2017) (2017)

Article Computer Science, Information Systems

Cyber physical systems security: Analysis, challenges and solutions

Yosef Ashibani et al.

COMPUTERS & SECURITY (2017)

Article Computer Science, Theory & Methods

Game Theory for Cyber Security and Privacy

Cuong T. Do et al.

ACM COMPUTING SURVEYS (2017)

Article Engineering, Chemical

Model-Predictive Safety System for Proactive Detection of Operation Hazards

Taha Mohseni Ahooyi et al.

AICHE JOURNAL (2016)

Article Computer Science, Interdisciplinary Applications

Perspective for smart factory in petrochemical industry

Defang Li

COMPUTERS & CHEMICAL ENGINEERING (2016)

Article Computer Science, Information Systems

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

Anna L. Buczak et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2016)

Article Computer Science, Artificial Intelligence

Machine Learning Methods for Attack Detection in the Smart Grid

Mete Ozay et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Article Engineering, Environmental

Methods and models in process safety and risk management: Past, present and future

Faisal Khan et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Survey on Anomaly Detection using Data Mining Techniques

Shikha Agrawal et al.

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 (2015)

Review Automation & Control Systems

A tutorial review of economic model predictive control methods

Matthew Ellis et al.

JOURNAL OF PROCESS CONTROL (2014)

Article Computer Science, Interdisciplinary Applications

Safety securing approach against cyber-attacks for process control system

Yoshihiro Hashimoto et al.

COMPUTERS & CHEMICAL ENGINEERING (2013)

Review Computer Science, Interdisciplinary Applications

Distributed model predictive control: A tutorial review and future research directions

Panagiotis D. Christofides et al.

COMPUTERS & CHEMICAL ENGINEERING (2013)

Article Automation & Control Systems

Economic model predictive control with self-tuning terminal cost

Matthias A. Mueller et al.

EUROPEAN JOURNAL OF CONTROL (2013)

Article Automation & Control Systems

Cyber Security of Water SCADA Systems-Part I: Analysis and Experimentation of Stealthy Deception Attacks

Saurabh Amin et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2013)

Article Engineering, Chemical

Economic model predictive control of nonlinear process systems using Lyapunov techniques

Mohsen Heidarinejad et al.

AICHE JOURNAL (2012)

Article Automation & Control Systems

On Average Performance and Stability of Economic Model Predictive Control

David Angeli et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2012)

Editorial Material Engineering, Chemical

DROWNING IN DATA: Informatics and Modeling Challenges in a Data-Rich Networked World

Venkat Venkatasubramanian

AICHE JOURNAL (2009)

Review Computer Science, Artificial Intelligence

Intrusion detection by machine learning: A review

Chih-Fong Tsai et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Automation & Control Systems

Isolation and handling of actuator faults in nonlinear systems

Prashant Mhaskar et al.

AUTOMATICA (2008)

Article Engineering, Electrical & Electronic

A cumulative sum-based fault detector for power system relaying application

S. R. Mohanty et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2008)

Article Engineering, Chemical

Plantwide fault isolation using nonlinear feedback control

Benjamin J. Ohran et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2008)

Article Engineering, Chemical

Control and monitoring of a high recovery reverse osmosis desalination process

Charles W. McFall et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2008)

Article Engineering, Chemical

Enhancing data-based fault isolation through nonlinear control

Benjamin J. Ohran et al.

AICHE JOURNAL (2008)

Article Computer Science, Information Systems

A hybrid machine learning approach to network anomaly detection

Taeshik Shon et al.

INFORMATION SCIENCES (2007)

Article Automation & Control Systems

Fault-tolerant control of a polyethylene reactor

Adiwinata Gani et al.

JOURNAL OF PROCESS CONTROL (2007)