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

KF Cheung, MGH Bell, J Bhattacharjya - Transportation Research Part E …, 2021 - Elsevier
Technological applications have increasingly improved the quality of services in the logistics
industry. However, the adoption of internet-based technologies has increased the attack …

Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence

A Chehri, I Fofana, X Yang - Sustainability, 2021 - mdpi.com
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The
current security tools are almost perfect when it comes to identifying and preventing known …

A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

[HTML][HTML] Information sharing in supply chains–Interoperability in an era of circular economy

AA Khan, J Abonyi - Cleaner Logistics and Supply Chain, 2022 - Elsevier
In order to realize the goals of Industry 5.0 (I5. 0), which has data interoperability as one of
its core principles, the future research in the Supply Chain (SC) visibility has to be aligned …

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

R Almajed, A Ibrahim, AZ Abualkishik… - … of Engineering and …, 2022 - pen.ius.edu.ba
Network integration is common in cyber-physical systems (CPS) to allow for remote access,
surveillance, and analysis. They have been exposed to cyberattacks because of their …

Security risk models against attacks in smart grid using big data and artificial intelligence

YY Ghadi, T Mazhar, K Aurangzeb, I Haq… - PeerJ Computer …, 2024 - peerj.com
The need to update the electrical infrastructure led directly to the idea of smart grids (SG).
Modern security technologies are almost perfect for detecting and preventing numerous …

A systematic review of smart city infrastructure threat modelling methodologies: a Bayesian focused review

M Wright, H Chizari, T Viana - Sustainability, 2022 - mdpi.com
Smart city infrastructure and the related theme of critical national infrastructure have
attracted growing interest in recent years in academic literature, notably how cyber-security …

Classification of malware attacks using machine learning in decision tree

A Yeboah-Ofori - International Journal of Security, 2020 - repository.uwl.ac.uk
Predicting cyberattacks using machine learning has become imperative since cyberattacks
have increased exponentially due to the stealthy and sophisticated nature of adversaries. To …

Detecting firmware modification on solid state drives via current draw analysis

D Brown, TO Walker III, JA Blanco, RW Ives, HT Ngo… - Computers & …, 2021 - Elsevier
Abstract Solid State Drives (SSDs) have gained significant market share among data
storage options in recent years due to increased speed and durability. But when compared …

Measuring and Improving the Security Posture of IEC 61850 Substations against Supply Chain Attacks

O Duman, A Tabiban, L Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The measurement of security is essential for defending critical infrastructures such as smart
grid substations against emerging threats of supply chain attacks. However, security …