All Outputs (45)

Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface (2025)
Journal Article
Wei, Z., Hu, W., Zhang, J., Guo, W., & McCann, J. (online). Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface. IEEE Transactions on Wireless Communications, https://doi.org/10.1109/twc.2025.3531799

Reconfigurable intelligent surfaces (RIS) can both help and hinder the physical layer secret key generation (PL-SKG) of communications systems. Whilst a legitimate RIS can yield beneficial impacts, including increased channel randomness to enhance PL... Read More about Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface.

Federated Deep Reinforcement Learning-Based Intelligent Surface Configuration in 6G Secure Airport Networks (2024)
Journal Article
Chen, Y., Al-Rubaye, S., Tsourdos, A., Chu, K.-F., Wei, Z., Baker, L., & Gillingham, C. (online). Federated Deep Reinforcement Learning-Based Intelligent Surface Configuration in 6G Secure Airport Networks. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2024.3463189

Reconfigurable Intelligent Surface (RIS) is envisioned to revolutionize 6G wireless networks, particularly in complex environments like smart airports, by customizing analog beamforming with desired direction and magnitude. Through precise configurat... Read More about Federated Deep Reinforcement Learning-Based Intelligent Surface Configuration in 6G Secure Airport Networks.

Trajectory Intent Prediction of Autonomous Systems Using Dynamic Mode Decomposition (2024)
Journal Article
Perrusquía, A., Wei, Z., & Guo, W. (2024). Trajectory Intent Prediction of Autonomous Systems Using Dynamic Mode Decomposition. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(12), 7897-7908. https://doi.org/10.1109/tsmc.2024.3462790

Proliferation of autonomous systems have increased the threat space and the economic risk in several national infrastructures, e.g., at airports. Therefore, reliable detection of their intention is paramount to ensure smooth operation of national ser... Read More about Trajectory Intent Prediction of Autonomous Systems Using Dynamic Mode Decomposition.

Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM (2024)
Presentation / Conference Contribution
Patil, P., Wei, Z., Petrunin, I., & Guo, W. (2024, June). Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

Radio frequency (RF) communication systems are the backbone of many intelligent transport and aerospace operations, ensuring safety, connectivity, and efficiency. Accurate classification of RF transmitters is vital to achieve safe and reliable functi... Read More about Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM.

A Review of Digital Twin Technologies for Enhanced Sustainability in the Construction Industry (2024)
Journal Article
Zhang, Z., Wei, Z., Court, S., Yang, L., Wang, S., Thirunavukarasu, A., & Zhao, Y. (2024). A Review of Digital Twin Technologies for Enhanced Sustainability in the Construction Industry. Buildings, 14(4), Article 1113. https://doi.org/10.3390/buildings14041113

Carbon emissions present a pressing challenge to the traditional construction industry, urging a fundamental shift towards more sustainable practices and materials. Recent advances in sensors, data fusion techniques, and artificial intelligence have... Read More about A Review of Digital Twin Technologies for Enhanced Sustainability in the Construction Industry.

Control Layer Security: Exploiting Unobservable Cooperative States of Autonomous Systems for Secret Key Generation (2024)
Journal Article
Wei, Z., & Guo, W. (2024). Control Layer Security: Exploiting Unobservable Cooperative States of Autonomous Systems for Secret Key Generation. IEEE Transactions on Mobile Computing, 23(10), 9989-10000. https://doi.org/10.1109/tmc.2024.3369754

The rapid growth of autonomous systems (ASs) with data sharing means new cybersecurity methods have to be developed for them. Existing computational complexity-based cryptography does not have information-theoretical bounds and poses threats to super... Read More about Control Layer Security: Exploiting Unobservable Cooperative States of Autonomous Systems for Secret Key Generation.

Uncovering drone intentions using control physics informed machine learning (2024)
Journal Article
Perrusquía, A., Guo, W., Fraser, B., & Wei, Z. (2024). Uncovering drone intentions using control physics informed machine learning. Communications Engineering, 3(1), Article 36. https://doi.org/10.1038/s44172-024-00179-3

Unmanned Autonomous Vehicle (UAV) or drones are increasingly used across diverse application areas. Uncooperative drones do not announce their identity/flight plans and can pose a potential risk to critical infrastructures. Understanding drone’s inte... Read More about Uncovering drone intentions using control physics informed machine learning.

Review of Physical Layer Security in Molecular Internet of Nano-Things (2024)
Journal Article
Qiu, S., Wei, Z., Huang, Y., Abbaszadeh, M., Charmet, J., Li, B., & Guo, W. (2024). Review of Physical Layer Security in Molecular Internet of Nano-Things. IEEE Transactions on NanoBioscience, 23(1), 91-100. https://doi.org/10.1109/tnb.2023.3285973

Molecular networking has been identified as a key enabling technology for Internet-of-Nano-Things (IoNT): microscopic devices that can monitor, process information, and take action in a wide range of medical applications. As the research matures into... Read More about Review of Physical Layer Security in Molecular Internet of Nano-Things.

Securing IoT Communication Using Physical Sensor Data — Graph Layer Security with Federated Multi-agent Deep Reinforcement Learning (2023)
Presentation / Conference Contribution
Wang, L., Wei, Z., & Guo, W. (2023, July). Securing IoT Communication Using Physical Sensor Data — Graph Layer Security with Federated Multi-agent Deep Reinforcement Learning. Presented at 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China

Internet-of-Things (IoT) devices are often used to transmit physical sensor data over digital wireless channels. Traditional Physical Layer Security (PLS)-based cryptography approaches rely on accurate channel estimation and information exchange for... Read More about Securing IoT Communication Using Physical Sensor Data — Graph Layer Security with Federated Multi-agent Deep Reinforcement Learning.

Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems (2023)
Journal Article
Guo, W., Wei, Z., Gonzalez, O., Perrusquía, A., & Tsourdos, A. (2024). Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems. IEEE Vehicular Technology Magazine, 19(1), 93-102. https://doi.org/10.1109/mvt.2023.3290773

Autonomous systems (ASs) often cooperate to ensure safe navigation. Embedded within the centralized or distributed coordination mechanisms are a set of observations, unobservable states, and control variables. Security of data transfer between ASs is... Read More about Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems.

Physical-Layer Counterattack Strategies for the Internet of Bio-Nano Things with Molecular Communication (2023)
Journal Article
Huang, Y., Wen, M., Lin, L., Li, B., Wei, Z., Tang, D., Li, J., Duan, W., & Guo, W. (2023). Physical-Layer Counterattack Strategies for the Internet of Bio-Nano Things with Molecular Communication. IEEE Internet of Things Magazine, 6(2), 82-87. https://doi.org/10.1109/iotm.001.2300029

Molecular communication (MC) is an emerging new communication paradigm where information is conveyed by chemical signals. It has been recognized as one of the most promising physical layer techniques for the future Internet of Bio-Nano Things (IoBNT)... Read More about Physical-Layer Counterattack Strategies for the Internet of Bio-Nano Things with Molecular Communication.

Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation (2023)
Journal Article
Wei, Z., Li, B., & Guo, W. (2023). Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation. IEEE Transactions on Information Forensics and Security, 18, 2368-2381. https://doi.org/10.1109/tifs.2023.3266705

The development of reconfigurable intelligent surfaces (RIS) has recently advanced the research of physical layer security (PLS). Beneficial impacts of RIS include but are not limited to offering a new degree-of-freedom (DoF) for key-less PLS optimiz... Read More about Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation.

Scarce data driven deep learning of drones via generalized data distribution space (2023)
Journal Article
Li, C., Sun, S. C., Wei, Z., Tsourdos, A., & Guo, W. (2023). Scarce data driven deep learning of drones via generalized data distribution space. Neural Computing and Applications, 35(20), 15095-15108. https://doi.org/10.1007/s00521-023-08522-z

Increased drone proliferation in civilian and professional settings has created new threat vectors for airports and national infrastructures. The economic damage for a single major airport from drone incursions is estimated to be millions per day. Du... Read More about Scarce data driven deep learning of drones via generalized data distribution space.

Tapping Eavesdropper Designs Against Physical Layer Secret Key in Point-to-Point Fiber Communications (2023)
Journal Article
Hu, W., Wei, Z., Popov, S., Leeson, M., & Xu, T. (2023). Tapping Eavesdropper Designs Against Physical Layer Secret Key in Point-to-Point Fiber Communications. Journal of Lightwave Technology, 41(5), 1406-1414. https://doi.org/10.1109/jlt.2022.3223025

With the growing demand for service access and data transmission, security issues in optical fiber systems have become increasingly important and the subject of increased research. Physical layer secret key generation (PL-SKG), which leverages the ra... Read More about Tapping Eavesdropper Designs Against Physical Layer Secret Key in Point-to-Point Fiber Communications.

Diversity-Based Non-Coherent Signal Detector for Molecular Communication via Reaction-Diffusion (2023)
Journal Article
Lin, Z., Li, B., Wei, Z., Huang, Y., Guo, W., & Zhao, C. (2023). Diversity-Based Non-Coherent Signal Detector for Molecular Communication via Reaction-Diffusion. IEEE Transactions on Communications, 71(5), 2618-2631. https://doi.org/10.1109/tcomm.2023.3249785

Molecular communication is attractive to the emerging nano-scale communication systems. Traditionally, a detector recovers the information from only the concentration of single messenger molecule, while ignoring the variation of multiple participants... Read More about Diversity-Based Non-Coherent Signal Detector for Molecular Communication via Reaction-Diffusion.

Eavesdropping Against Bidirectional Physical Layer Secret Key Generation in Fiber Communications (2022)
Presentation / Conference Contribution
Hu, W., Wei, Z., Leeson, M., & Xu, T. (2022, November). Eavesdropping Against Bidirectional Physical Layer Secret Key Generation in Fiber Communications. Presented at 2022 IEEE Photonics Conference (IPC), Vancouver, BC, Canada

Physical layer secret key exploits the random but reciprocal channel features between legitimate users to encrypt their data against fiber-tapping. We propose a novel tapping-based eavesdropper scheme, leveraging its tapped signals from legitimate us... Read More about Eavesdropping Against Bidirectional Physical Layer Secret Key Generation in Fiber Communications.

Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing (2022)
Presentation / Conference Contribution
Wei, Z., Wang, L., & Guo, W. (2022, September). Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom

Reconfigurable intelligent surfaces (RIS) have been shown to improve the secret key rate (SKR) for physical layer secret key generation (PL-SKG), by using the programmable phase shifts to increase reciprocal channel entropy. Most current studies cons... Read More about Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing.

Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process (2022)
Presentation / Conference Contribution
Sun, S. C., Jin, B., Wei, Z., & Guo, W. (2022, July). Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. Presented at Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, Vienna, Austria

The causal mechanism between climate and political violence is fraught with complex mechanisms. Current quantitative causal models rely on one or more assumptions: (1) the climate drivers persistently generate conflict, (2) the causal mechanisms have... Read More about Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process.

Graph Layer Security: Encrypting Information via Common Networked Physics (2022)
Journal Article
Wei, Z., Wang, L., Sun, S. C., Li, B., & Guo, W. (in press). Graph Layer Security: Encrypting Information via Common Networked Physics. Sensors, 22(10), Article 3951. https://doi.org/10.3390/s22103951

The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power IoT scenarios. Whilst recentl... Read More about Graph Layer Security: Encrypting Information via Common Networked Physics.

A Multi-Eavesdropper Scheme Against RIS Secured LoS-Dominated Channel (2022)
Journal Article
Wei, Z., Guo, W., & Li, B. (2022). A Multi-Eavesdropper Scheme Against RIS Secured LoS-Dominated Channel. IEEE Communications Letters, 26(6), 1221-1225. https://doi.org/10.1109/lcomm.2022.3166239

Reconfigurable intelligent surface (RIS) has been shown as a promising technique to increase the channel randomness for secret key generation (SKG) in low-entropy channels (e.g., static or line-of-sight (LoS)), without small-scale fading. In this let... Read More about A Multi-Eavesdropper Scheme Against RIS Secured LoS-Dominated Channel.