A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
A unified deep learning anomaly detection and classification approach for smart grid environments
I Siniosoglou, P Radoglou-Grammatikis… - … on Network and …, 2021 - ieeexplore.ieee.org
The interconnected and heterogeneous nature of the next-generation Electrical Grid (EG),
widely known as Smart Grid (SG), bring severe cybersecurity and privacy risks that can also …
widely known as Smart Grid (SG), bring severe cybersecurity and privacy risks that can also …
[HTML][HTML] Spear siem: A security information and event management system for the smart grid
P Radoglou-Grammatikis, P Sarigiannidis, E Iturbe… - Computer Networks, 2021 - Elsevier
The technological leap of smart technologies has brought the conventional electrical grid in
a new digital era called Smart Grid (SG), providing multiple benefits, such as two-way …
a new digital era called Smart Grid (SG), providing multiple benefits, such as two-way …
[HTML][HTML] A forensics and compliance auditing framework for critical infrastructure protection
Contemporary societies are increasingly dependent on products and services provided by
Critical Infrastructure (CI) such as power plants, energy distribution networks, transportation …
Critical Infrastructure (CI) such as power plants, energy distribution networks, transportation …
A self-learning approach for detecting intrusions in healthcare systems
P Radoglou-Grammatikis… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The rapid evolution of the Internet of Medical Things (IoMT) introduces the healthcare
ecosystem into a new reality consisting of smart medical devices and applications that …
ecosystem into a new reality consisting of smart medical devices and applications that …
Cybersecurity challenges in IoT-based smart renewable energy
Abstract The Internet of Things (IoT) makes it possible to collect data from, and issue
commands to, devices via the Internet, eliminating the need for humans in the process while …
commands to, devices via the Internet, eliminating the need for humans in the process while …
Strategic honeypot deployment in ultra-dense beyond 5g networks: A reinforcement learning approach
P Radoglou-Grammatikis… - … on Emerging Topics …, 2022 - ieeexplore.ieee.org
The progression of Software Defined Networking (SDN) and the virtualisation technologies
lead to the beyond 5G era, providing multiple benefits in the smart economies. However …
lead to the beyond 5G era, providing multiple benefits in the smart economies. However …
Maritime Autonomous Surface Ships: A Review of Cybersecurity Challenges, Countermeasures, and Future Perspectives
N Tabish, T Chaur-Luh - IEEE Access, 2024 - ieeexplore.ieee.org
Maritime Autonomous Surface Ships (MASS) have brought a transformative wave in the
marine industry, yielding unprecedented operational advancements and efficiency gains …
marine industry, yielding unprecedented operational advancements and efficiency gains …