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Prof Berk Canberk's Outputs (79)

Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux Based IoT Systems (2025)
Presentation / Conference Contribution
Korac, S., Maglaras, L., Moradpoor, N., Kioskli, K., Buchanan, W., & Canberk, B. (2025, June). Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux Based IoT Systems. Presented at IEEE DCOSS-IoT 2025, Tuscany (Lucca), Italy

Ransomware has been predominantly a threat to Windows systems. But, Linux systems became interesting for cybercriminals and this trend is expected to continue. This endangers IoT ecosystems, whereas many IoT systems are based on Linux (e.g. cloud inf... Read More about Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux Based IoT Systems.

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.

Quantum Machine Learning for 6G Network Intelligence and Adversarial Threats (2025)
Journal Article
Nguyen, V.-L., Nguyen, L.-H., Hwang, R.-H., Canberk, B., & Duong, T. Q. (in press). Quantum Machine Learning for 6G Network Intelligence and Adversarial Threats. IEEE Communications Standards Magazine,

Quantum computing has been a major priority for several nations and prominent institutions in their pursuit of a transformative breakthrough in the fields of computation and encryption. By using the principles of quantum mechanics, particularly quant... Read More about Quantum Machine Learning for 6G Network Intelligence and Adversarial Threats.

WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization (2025)
Journal Article
Singh, S. K., Comsa, I.-S., Trestian, R., Cakir, L. V., Singh, R., Kaushik, A., Canberk, B., Shah, P., Kumbhani, B., & Darshi, S. (in press). WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization. IEEE Communications Standards Magazine,

The forthcoming wireless network is expected to support a wide range of applications, from supporting autonomous vehicles to massive Internet of Things (IoT) deployments. However, the coexistence of diverse applications under a unified framework pres... Read More about WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization.

Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks (2025)
Presentation / Conference Contribution
Huynh, D. V., Khosravirad, S. R., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2024, December). Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks. Presented at 2024 IEEE Global Communications Conference: Wireless Communications (GLOBECOM), Cape Town, South Africa

The advancement of sophisticated communication technologies and robust computing systems has unlocked opportunities for new applications across various domains. While these applications promise enhanced convenience and improved living standards, they... Read More about Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks.

Toward 6G-Enabled URLLCs: Digital Twin, Open Ran, and Semantic Communications (2025)
Journal Article
Masaracchia, A., Nguyen, V.-L., da Costa, D. B., Ak, E., Canberk, B., Sharma, V., & Duong, T. Q. (2025). Toward 6G-Enabled URLLCs: Digital Twin, Open Ran, and Semantic Communications. IEEE Communications Standards Magazine, 9(1), 13-20. https://doi.org/10.1109/mcomstd.0001.2300054

Recently, the concept of digital twin (DT), open radio access Network (O-RAN) and the adoption of semantic communications (SC) have been labeled as keystone technologies towards the deployment of 6G networks. This article aims to provide a comprehens... Read More about Toward 6G-Enabled URLLCs: Digital Twin, Open Ran, and Semantic Communications.

Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization (2025)
Presentation / Conference Contribution
Phong Pham, V., Van Huynh, D., McNiven, B. D. E., Canberk, B., Dobre, O. A., & Duong, T. Q. (2025, March). Joint Optimal Design for Speed and Routing in Maritime Logistics with Quantum Optimization. Presented at IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC), Nara, Japan

Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS’s Digital Twin (2025)
Presentation / Conference Contribution
Al-Shareeda, S., Celik, Y., Bilgili, B., Al-Dubai, A., & Canberk, B. (2025, February). Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS’s Digital Twin. Presented at 2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM), Byblos, Lebanon

Creating a Digital Twin (DT) for Healthcare Intelligent Transportation Systems (HITS) is a hot research trend focusing on enhancing HITS management, particularly in emergencies where ambulance vehicles must arrive at the crash scene on time, and trac... Read More about Accurate AI-Driven Emergency Vehicle Location Tracking in Healthcare ITS’s Digital Twin.

The Role of Digital Twin in 6G-Based URLLCs: Current Contributions, Research Challenges, and Next Directions (2025)
Journal Article
Masaracchia, A., van Huynh, D., Duong, T. Q., Dobre, O. A., Nallanathan, A., & Canberk, B. (2025). The Role of Digital Twin in 6G-Based URLLCs: Current Contributions, Research Challenges, and Next Directions. IEEE Open Journal of the Communications Society, 6, 1202-1215. https://doi.org/10.1109/ojcoms.2025.3540287

Substantial improvements in the area of ultra reliable and low-latency communication (URLLC) capabilities, as well as possibilities of meeting the rising demand for high-capacity and high-speed connectivity are expected to be achieved with the deploy... Read More about The Role of Digital Twin in 6G-Based URLLCs: Current Contributions, Research Challenges, and Next Directions.

Advancing 6G: Survey for Explainable AI on Communications and Network Slicing (2025)
Journal Article
Sun, H., Liu, Y., Al-Tahmeesschi, A., Nag, A., Soleimanpour, M., Canberk, B., Arslan, H., & Ahmadi, H. (2025). Advancing 6G: Survey for Explainable AI on Communications and Network Slicing. IEEE Open Journal of the Communications Society, 6, 1372-1412. https://doi.org/10.1109/ojcoms.2025.3534626

The unprecedented advancement of Artificial Intelligence (AI) has positioned Explainable AI (XAI) as a critical enabler in addressing the complexities of next-generation wireless communications. With the evolution of the 6G networks, characterized by... Read More about Advancing 6G: Survey for Explainable AI on Communications and Network Slicing.

GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks (2025)
Journal Article
Duran, K., Shin, H., Duong, T. Q., & Canberk, B. (2025). GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks. IEEE Transactions on Cognitive Communications and Networking, 11(2), 1053-1063. https://doi.org/10.1109/tccn.2025.3527719

The dramatic increase in smart services makes adaptive management of communication networks more critical. Especially for Internet of Things (IoT) networks, adaptive management faces several challenges, like fluctuating network conditions, heterogene... Read More about GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks.

Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization (2025)
Presentation / Conference Contribution
Karakaya, S. S., Sarı, T., Ak, E., Canberk, B., & Seçinti, G. (2024, September). Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization. Presented at 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain

Coordinated beamforming is one of the crucial improvements for WiFi7. However, to provide sufficient Quality of Service, the corresponding beams have to be aligned accurately. Conventional approaches search for optimal beams in the available codebook... Read More about Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization.

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.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks (2024)
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

A Data Serialization-based Framework for Efficient IoT Management (2024)
Presentation / Conference Contribution
Huseynov, K., Cakir, L. V., Al-Shareeda, S., Özdem, M., & Canberk, B. (2024, November). A Data Serialization-based Framework for Efficient IoT Management. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resou... Read More about A Data Serialization-based Framework for Efficient IoT Management.