Â鶹ÉçÇø

Machine Learning for Smart Healthcare Management Using IoT

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 man...

Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis

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

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 fo...

The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System

Presentation / Conference Contribution

Moradpoor, N., Maglaras, L., Abah, E., & Robles-Durazno, A. (2023, June)

The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System. Presented at 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus

The protection of Critical National Infrastructure is extremely important due to nations being dependent on their operation and steadiness. Any disturbance to this infrastruct...

A Blockchain-based two Factor Honeytoken Authentication System

Presentation / Conference Contribution

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...

Scenario-based incident response training: lessons learnt from conducting an experiential learning virtual incident response tabletop exercise

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'...

IoT: Communication protocols and security threats

Journal Article

Gerodimos, A., Maglaras, L., Ferrag, M. A., Ayres, N., & Kantzavelou, I. (in press)

IoT: Communication protocols and security threats. Internet of Things and Cyber-Physical Systems, 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. More...

A Safety-Aware Location Privacy-Preserving IoV Scheme with Road Congestion-Estimation in Mobile Edge Computing

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 bo...

An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad Hoc Networks

Journal Article

Almomani, I., Ahmed, M., Kosmanos, D., Alkhayer, A., & Maglaras, L. (2022)

An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad Hoc Networks. IEEE Access, 10, 131640-131655. https://doi.org/10.1109/access.2022.3229623

Jamming is a terrifying attack that could harm 802.11p-based vehicular communications by occupying the communication channels by overwhelming the network with jamming packets,...

An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad hoc Networks

Journal Article

Almomani, I., Ahmad, M., Kosmanos, D., Alkhayer, A., & Maglaras, L. (in press)

An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad hoc Networks. IEEE Access,

Jamming is a terrifying attack that could harm the 802.11p-based vehicular communications by occupying the communication channels through overwhelming the network with jamming...