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Outputs (19)

Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks (2025)
Presentation / Conference Contribution
Yigit, Y., Gursu, K., Al-Dubai, A., Maglaras, L. A., & Canberk, B. (2025, March). Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy

With the development of software-defined edge networks, network management has become more flexible and realtime. However, this advancement has also led to critical security concerns, especially when detecting attacks efficiently in resourceconstrain... Read More about Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks.

ARSecure: A Novel End-to-End Encryption Messaging System Using Augmented Reality (2025)
Presentation / Conference Contribution
Alsop, H., Alsop, D., Solomon, J., Aumento, L., Butters, M., Millar, C., Maglaras, L., Yigit, Y., Moradpoor, N., & Canberk, B. (2025, June). ARSecure: A Novel End-to-End Encryption Messaging System Using Augmented Reality. Poster presented at IEEE DCOSS-IoT 2025, Tuscany (Lucca), Italy

End-to-end encryption (E2EE) ensures that only the intended recipient(s) can read messages. Popular instant messaging (IM) applications such as Signal, WhatsApp, Apple's iMessage, and Telegram claim to offer E2EE. However, client-side scanning (CSS)... Read More about ARSecure: A Novel End-to-End Encryption Messaging System Using Augmented Reality.

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities (2025)
Journal Article
Yigit, Y., Ferrag, M. A., Ghanem, M. C., Sarker, I. H., Maglaras, L. A., Chrysoulas, C., Moradpoor, N., Tihanyi, N., & Janicke, H. (2025). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. Sensors, 25(6), Article 1666. https://doi.org/10.3390/s25061666

Critical National Infrastructures (CNIs)—including energy grids, water systems, transportation networks, and communication frameworks—are essential to modern society yet face escalating cybersecurity threats. This review paper comprehensively analyze... Read More about Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet of Vehicles Networks (2024)
Journal Article
Yigit, Y., Maglaras, L., Buchanan, W. J., Canberk, B., Shin, H., & Duong, T. Q. (2024). AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet of Vehicles Networks. IEEE Internet of Things, 11(22), 36168-36181. https://doi.org/10.1109/jiot.2024.3455089

Digital twin technology is crucial to the development of the sixth-generation (6G) Internet of Vehicles (IoV) as it allows the monitoring and assessment of the dynamic and complicated vehicular environment. However, 6G IoV networks have critical chal... Read More about AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet of Vehicles Networks.

Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities (2024)
Journal Article
Yigit, Y., Ahmadi, H., Yurdakul, G., Canberk, B., Hoang, T., & Duong, T. Q. (2024). Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities. IEEE Communications Standards Magazine, 8(3), 28-34. https://doi.org/10.1109/mcomstd.0002.2300027

Digital twin (DT)-based smart cities are anticipated to achieve seamless integration between physical and digital objects to satisfy an enormous number of users across all domains. Therefore, the infrastructure of 6G smart cities has become an import... Read More about Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities.

Machine Learning for Smart Healthcare Management Using IoT (2024)
Book Chapter
Yigit, Y., Duran, K., Moradpoor, N., Maglaras, L., Van Huynh, N., & Canberk, B. (2024). Machine Learning for Smart Healthcare Management Using IoT. In IoT and ML for Information Management: A Smart Healthcare Perspective (135-166). Springer. https://doi.org/10.1007/978-981-97-5624-7_4

This chapter explores the significant impact of Machine Learning (ML) and the Internet of Things (IoT) on smart healthcare management, marking a new era of innovation with enhanced patient care and health outcomes. The fusion of IoT devices for real-... Read More about Machine Learning for Smart Healthcare Management Using IoT.

PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme (2024)
Presentation / Conference Contribution
Yaqub, Z., Yigit, Y., Maglaras, L., Tan, Z., & Wooderson, P. (2024, April). PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme. Presented at The 20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024), Abu Dhabi, UAE

In the rapidly evolving landscape of Intelligent Transportation Systems (ITS), Vehicular Ad-hoc Networks (VANETs) play a critical role in enhancing road safety and traffic flow. However, VANETs face significant security and privacy challenges due to... Read More about PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.