[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

Device fingerprinting for cyber-physical systems: a survey

V Kumar, K Paul - ACM Computing Surveys, 2023 - dl.acm.org
The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …

Machine learning for intrusion detection in industrial control systems: challenges and lessons from experimental evaluation

GR MR, CM Ahmed, A Mathur - Cybersecurity, 2021 - Springer
Gradual increase in the number of successful attacks against Industrial Control Systems
(ICS) has led to an urgent need to create defense mechanisms for accurate and timely …

Intelligent and secure framework for critical infrastructure (CPS): Current trends, challenges, and future scope

ZA Sheikh, Y Singh, PK Singh, KZ Ghafoor - Computer Communications, 2022 - Elsevier
Abstract Cyber–Physical Systems (CPS) are developed by the integration of computational
algorithms and physical components and they exist as a result of technological …

NoiSense Print Detecting Data Integrity Attacks on Sensor Measurements Using Hardware-based Fingerprints

CM Ahmed, AP Mathur, M Ochoa - ACM Transactions on Privacy and …, 2020 - dl.acm.org
Fingerprinting of various physical and logical devices has been proposed for uniquely
identifying users or devices of mainstream IT systems such as PCs, laptops, and smart …

[HTML][HTML] Проблема интерпретации, дифференциации и классификации цифровых продуктов

АИ Шайдуллин - Бизнес-информатика, 2023 - cyberleninka.ru
Цифровые инновационные продукты зачастую становятся значимым фактором
пересмотра бизнес-стратегий компаний и влияют на потребительские предпочтения …

Attack rules: an adversarial approach to generate attacks for Industrial Control Systems using machine learning

MA Umer, CM Ahmed, MT Jilani… - Proceedings of the 2th …, 2021 - dl.acm.org
Adversarial learning is used to test the robustness of machine learning algorithms under
attack and create attacks that deceive the anomaly detection methods in Industrial Control …

Process skew: Fingerprinting the process for anomaly detection in industrial control systems

CM Ahmed, J Prakash, R Qadeer, A Agrawal… - Proceedings of the 13th …, 2020 - dl.acm.org
In an Industrial Control System (ICS), its complex network of sensors, actuators and
controllers have raised security concerns. In this paper, we proposed a technique called …

[HTML][HTML] The problem of interpretation, differentiation and classification of digital products

AI Shaidullin - Бизнес-информатика, 2023 - cyberleninka.ru
Digital innovative products often become a significant factor in the revision of companies'
business strategies and influence consumer preferences. A key component in the process of …

Machine learning for cps security: applications, challenges and recommendations

C Mujeeb Ahmed, MA Umer… - … Intelligence and Big …, 2021 - Springer
Abstract Machine Learning (ML) based approaches are becoming increasingly common for
securing critical Cyber Physical Systems (CPS), such as electric power grid and water …