Dr. Viet Pham

Smart contracts (SC) are transforming how we can enhance automated public services and how the services are executed and controlled in digital ecosystems. Distributed artificial intelligence (DAI) is a new AI paradigm that uses distributed device computing resources to improve data privacy. It is natural to combine SC and DAI to address challenging research issues, including data privacy, security, and network scalability, thus fostering efficient and responsible actions for reliable digital transformation ecosystems in smart cities and novel energy management models. Although promising, there is no high-level reference framework for designing novel SC/DAI-driven solutions and benchmarking testbeds for essential use cases and scaling their implementation internationally. The SHIELD project will offer a new SC/DAI-driven holistic, security, and privacy service architecture and apply it to important use cases in blockchain network ecosystems and smart city/smart energy case studies. SHIELD focuses on public digital services in smart cities using SC/DAI-driven control and operates over edge and global networks. The framework would incorporate robust security measures and privacy-enhancing capabilities in accordance with the sixth-generation (6G) network standards. Exploiting the unique features and research advances on SC/DAI, SHIELD will enable the training, execution, and automated control of e-services with decentralized, contract-based, and secure natures. The framework will enable new models and methods to minimize energy consumption and fraud losses, optimize computing resources and accidental exceptions, and enhance personalization and environmental awareness for micro/macrodigital transformation systems. SHIELD will bring together an international consortium of researchers from the EU and Asia to implement the framework in their lab and testbed facilities. Furthermore, the work carried out in SHIELD will serve as a steppingstone towards large-scale applications, regulations, and governance smart services in 6G with a vision of a new fully digital transformation society.

ENSURE-6G project will develop robust solutions to provide resilient 6G telecommunication infrastructure in the presence of both cyber and physical attacks in 6G networks. The rationale for the ENSURE-6G project is well justified due to the need for advanced and intelligent security and privacy-enhancing mechanisms deployed in practice within current mobile networks and the necessity of novel efficient mechanisms for future networks. ENSURE-6G will have a strong impact on the careers of all participating staff involved. It will equip them with cutting-edge technical and practical knowledge in the security and privacy of 6G technologies. It will create an opportunity to build a strong professional network and bond with industry partners beyond the project"s completion date. The ENSURE-6G will aim to ensure that the EU is at the forefront of security and privacy requirements of 6G networks and that new security measures are designed to mitigate the risks associated with new 6G end-user devices and users.

This Research Boost Programme grant supports the PI to purchase a high-performance desktop. This equipment is essential for building, testing, and verifying wireless AI and machine learning models. The server will be used mainly for performance evaluation, such as the training of transformers, generative AI, and deep learning models in processing heterogeneous data in federated learning and federated unlearning, simulation of joint resource allocation methods, evaluation of joint learning and unlearning approaches, and support of additional testbed implementations in real-world network environments.