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Showing 5 of 5 academic articles

Review of cryptographic application security evaluation techniques for new critical infrastructures

Gaolei LI, Jianhua LI, Zhihong ZHOU, Hao ZHANG • 网络与信息安全学报 (2023)

The construction of new critical infrastructure, represented by high-speed full-time signal coverage, intelligent and fine-grained urban management, and deep space and deep sea scientific innovation experimental fields, has entered a new st...

DOAJ Open Access (DOAJ) DOI: 10.11959/j.issn.2096-109x.2023079

A Review of Cybersecurity Incidents in the Water Sector

Amin Hassanzadeh, Amin Rasekh, Stefano Galelli, Mohsen Aghashahi et al. • Journal of Environmental Engineering (2020)

This study presents a critical review of disclosed, documented, and malicious cybersecurity incidents in the water sector to inform safeguarding efforts against cybersecurity threats. The review is presented within a technical context of in...

OPENALEX Open Access DOI: https://doi.org/10.1061/(asce)ee.1943-7870.0001686

The Cybersecurity Landscape in Industrial Control Systems

Stephen McLaughlin, Charalambos Konstantinou, Xueyang Wang, Lucas Davi et al. • Proceedings of the IEEE (2016)

Industrial control systems (ICSs) are transitioning from legacy-electromechanical-based systems to modern information and communication technology (ICT)-based systems creating a close coupling between cyber and physical components. In this ...

OPENALEX DOI: https://doi.org/10.1109/jproc.2015.2512235

Cybersecurity

Daniel Conte de Leon, Georgios Michail Makrakis, Constantinos Kolias • Wiley eBooks (2021)

This chapter describes fundamental concepts of security and cybersecurity within the context of Industrial Control Systems (ICSs) and Cyber–Physical Systems (CPSs) and their control subsystems. It identifies the fundamental properties of a ...

OPENALEX DOI: https://doi.org/10.1002/9781119660446.ch7

Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks

Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things (2025)

Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43926-025-00100-0