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All Outputs (16)

Reliability Analysis of Fault Tolerant Memory Systems (2023)
Conference Proceeding
Yigit, Y., Maglaras, L., Amine Ferrag, M., Moradpoor, N., & Lambropoulos, G. (2023). Reliability Analysis of Fault Tolerant Memory Systems. In 2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470763

This paper delves into a comprehensive analysis of fault-tolerant memory systems, focusing on recovery techniques modelled using Markov chains to address transient errors. The study revolves around the application of scrubbing methods in conjunction... Read More about Reliability Analysis of Fault Tolerant Memory Systems.

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks (2023)
Conference Proceeding
Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., & Canberk, B. (2023). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. In 2023 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/GCWkshps58843.2023.10465218

As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates towards the Edge of Things (EoT) network. This shift prompts businesses to deploy infrastructure closer to end-users, enhancing accessibility. However, t... Read More about Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks.

Cyber Malware: Offensive and Defensive Systems (2023)
Book
Almomani, I., Maglaras, L. A., Ferrag, M. A., & Ayres, N. (Eds.). (2023). Cyber Malware: Offensive and Defensive Systems. Cham: Springer. https://doi.org/10.1007/978-3-031-34969-0

This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the risk against emergent malware atta... Read More about Cyber Malware: Offensive and Defensive Systems.

Machine Learning for Smart Healthcare Management Using IoT (2023)
Book Chapter
Yigit, Y., Duran, K., Moradpoor, N., Maglaras, L., Van Huynh, N., & Canberk, B. (in press). Machine Learning for Smart Healthcare Management Using IoT. In IoT and ML for Information Management: A Smart Healthcare Perspective. Springer

The convergence of Machine Learning (ML) and the Internet of Things (IoT) has brought about a paradigm shift in healthcare, ushering in a new era of intelligent healthcare management. This powerful amalgamation is driving transformative changes acros... Read More about Machine Learning for Smart Healthcare Management Using IoT.

Scalable Multi-domain Trust Infrastructures for Segmented Networks (2023)
Conference Proceeding
Grierson, S., Ghaleb, B., Buchanan, W. J., Thomson, C., Maglaras, L., & Eckl, C. (in press). Scalable Multi-domain Trust Infrastructures for Segmented Networks.

Within a trust infrastructure, a private key is often used to digitally sign a transaction, which can be verified with an associated public key. Using PKI (Public Key Infrastructure), a trusted entity can produce a digital signature, verifying the au... Read More about Scalable Multi-domain Trust Infrastructures for Segmented Networks.

Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis (2023)
Conference Proceeding
Thaeler, A., Yigit, Y., Maglaras, L. A., Buchanan, B., Moradpoor, N., & Russell, G. (in press). Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

Hybrid Threats, Cyberterrorism and Cyberwarfare (2023)
Book
Ferrag, M. A., Kantzavelou, I., Maglaras, L., & Janicke, H. (Eds.). (2024). Hybrid Threats, Cyberterrorism and Cyberwarfare. Boca Raton: CRC Press. https://doi.org/10.1201/9781003314721

Nowadays in cyberspace, there is a burst of information to which everyone has access. However, apart from the advantages the internet offers, it also hides numerous dangers for both people and nations. Cyberspace has a dark side, including terrorism,... Read More about Hybrid Threats, Cyberterrorism and Cyberwarfare.

The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System (2023)
Conference Proceeding
Moradpoor, N., Maglaras, L., Abah, E., & Robles-Durazno, A. (2023). The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System. In 2023 19th IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (453-460). https://doi.org/10.1109/DCOSS-IoT58021.2023.00077

The protection of Critical National Infrastructure is extremely important due to nations being dependent on their operation and steadiness. Any disturbance to this infrastructure could have a devastating consequence on physical security, economic wel... Read More about The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System.

A Blockchain-based two Factor Honeytoken Authentication System (2023)
Presentation / Conference
Papaspirou, V., Maglaras, L., Kantzavelou, I., Moradpoor, N., & Katsikas, S. (2023, September). A Blockchain-based two Factor Honeytoken Authentication System. Poster presented at 28th European Symposium on Research in Computer Security (ESORICS), The Hague

This paper extends and advances our recently introduced two-factor Honeytoken authentication method by incorporating blockchain technology. This novel approach strengthens the authentication method, preventing various attacks, including tampering att... Read More about A Blockchain-based two Factor Honeytoken Authentication System.

A novel autonomous container-based platform for cybersecurity training and research (2023)
Journal Article
Chouliaras, N., Kantzavelou, I., Maglaras, L., Pantziou, G., & Amine Ferrag, M. (2023). A novel autonomous container-based platform for cybersecurity training and research. PeerJ Computer Science, 9, Article e1574. https://doi.org/10.7717/peerj-cs.1574

Cyberattacks, particularly those targeting systems that store or handle sensitive data, have become more sophisticated in recent years. To face increasing threats, continuous capacity building and digital skill competence are needed. Cybersecurity ha... Read More about A novel autonomous container-based platform for cybersecurity training and research.

A Novel Authentication Method That Combines Honeytokens and Google Authenticator (2023)
Journal Article
Papaspirou, V., Papathanasaki, M., Maglaras, L., Kantzavelou, I., Douligeris, C., Ferrag, M. A., & Janicke, H. (2023). A Novel Authentication Method That Combines Honeytokens and Google Authenticator. Information, 14(7), Article 386. https://doi.org/10.3390/info14070386

Despite the rapid development of technology, computer systems still rely heavily on passwords for security, which can be problematic. Although multi-factor authentication has been introduced, it is not completely effective against more advanced attac... Read More about A Novel Authentication Method That Combines Honeytokens and Google Authenticator.

Scenario-based incident response training: lessons learnt from conducting an experiential learning virtual incident response tabletop exercise (2023)
Journal Article
Angafor, G. N., Yevseyeva, I., & Maglaras, L. (2023). Scenario-based incident response training: lessons learnt from conducting an experiential learning virtual incident response tabletop exercise. Information and Computer Security, 31(4), 404-426. https://doi.org/10.1108/ICS-05-2022-0085

Purpose This paper aims to discuss the experiences designing and conducting an experiential learning virtual incident response tabletop exercise (VIRTTX) to review a business's security posture as it adapts to remote working because of the Coronavir... Read More about Scenario-based incident response training: lessons learnt from conducting an experiential learning virtual incident response tabletop exercise.

Digitization of healthcare sector: A study on privacy and security concerns (2023)
Journal Article
Paul, M., Maglaras, L., Ferrag, M. A., & Almomani, I. (2023). Digitization of healthcare sector: A study on privacy and security concerns. ICT Express, 9(4), 571-588. https://doi.org/10.1016/j.icte.2023.02.007

The digital revolution has taken business sectors to a new height through the advancement of technology. The healthcare sector also embraced digital technology to facilitate technological change from mechanical and analogue electronic devices to the... Read More about Digitization of healthcare sector: A study on privacy and security concerns.

IoT: Communication protocols and security threats (2023)
Journal Article
Gerodimos, A., Maglaras, L., Ferrag, M. A., Ayres, N., & Kantzavelou, I. (2023). IoT: Communication protocols and security threats. Internet of Things and Cyber-Physical Systems, 3, 1-13. https://doi.org/10.1016/j.iotcps.2022.12.003

In this study, we review the fundamentals of IoT architecture and we thoroughly present the communication protocols that have been invented especially for IoT technology. Moreover, we analyze security threats, and general implementation problems, pre... Read More about IoT: Communication protocols and security threats.

A Safety-Aware Location Privacy-Preserving IoV Scheme with Road Congestion-Estimation in Mobile Edge Computing (2023)
Journal Article
Babaghayou, M., Chaib, N., Lagraa, N., Ferrag, M. A., & Maglaras, L. (2023). A Safety-Aware Location Privacy-Preserving IoV Scheme with Road Congestion-Estimation in Mobile Edge Computing. Sensors, 23(1), Article 531. https://doi.org/10.3390/s23010531

By leveraging the conventional Vehicular Ad-hoc Networks (VANETs), the Internet of Vehicles (IoV) paradigm has attracted the attention of different research and development bodies. However, IoV deployment is still at stake as many security and privac... Read More about A Safety-Aware Location Privacy-Preserving IoV Scheme with Road Congestion-Estimation in Mobile Edge Computing.