• Advanced Institute of Engineering and Technology (AVITECH)

  • Research Projects

    Cyber-attack detection and information security in Industry 4.0

    A main driver for smart city development is Industry 4.0, in which ICT helps connect physical systems to the cyber-world, thereby enabling supply chain market more efficient, agile, and customer-focused. However, cyber-security risks become a key concern due to open systems with IP addresses, creating more avenues for cyber-attacks.

    Information and communication technology (ICT) is expected to play an increasingly pivotal role in deepening economic integration and community building across the Association of Southeast Asian Nations (ASEAN), transitioning towards a digitally-enabled economy that is secure, sustainable, and transformative. This project considers the development of connected smart cities for a smart ASEAN society in general and in Vietnam in particular.

    The project aims to provide tools to enhance cyber-security in Industry 4.0, contributing to the enhancement of information reliability for smart society. In particular, it will develop (i) an innovative method to detect cyber-security threats in Industry 4.0 using advanced deep learning technology, (ii) an unprecedented framework to protect massive Industry 4.0 data from cyber-attacks using blockchain technology, and (iii) novel security solutions at the physical interface of information transmission using physical-layer security technology.

    Selected Publications

    Bui Minh Tuan, Diep N. Nguyen, Nguyen Linh Trung, Van-Dinh Nguyen, Nguyen Van Huynh, Dinh Thai Hoang, Marwan Krunz, and Eryk Dutkiewicz. Securing MIMO wiretap channel with learning-based friendly jamming under imperfect CSI. IEEE Internet of Things Journal, November 2023 [under review].

    Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang, Nguyen Linh Trung, Tran Thi Thuy Quynh, Nguyen Viet Ha, Diep N Nguyen, and Eryk Dutkiewicz. Collaborative learning for cyberattack detection in blockchain networks. IEEE Transactions on Systems, Man, Cybernetics: Systems, November 2023 [under minor review].

    Bui Minh Tuan, Tran Viet Khoa, Do Hai Son, Nguyen Linh Trung, Tran Thi Thuy Quynh, Nguyen Viet Ha, Nguyen Ngoc Hoa, Nguyen Dai Tho, and Le Quang Minh. A new framework for cyber risk assessment for Industry 4.0 and recommendations for Vietnam. REV Journal on Electronics and Communications, vol. 13, no. 3-4, July-December 2023.

    Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung, Cong T. Nguyen, Tran Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha, and Eryk Dutkiewicz. Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks. IEEE Internet of Things Journal, vol. 10, no. 10, pp. 8578-8589, 2023.

    Do Hai Son, Tran Thi Thuy Quynh, Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung, Nguyen Viet Ha, Dusit Niyato, Diep N. Nguyen, and Eryk Dutkiewicz. An effective framework of private Ethereum blockchain network for smart grid. International Conference on Advanced Technologies for Communications (ATC), Ho Chi Minh city, Vietnam, 2021. [Best paper award]

    Bui Minh Tuan, Ta Duc Tuyen, Nguyen Linh Trung, and Nguyen Viet Ha. Autoencoder-based friendly jamming. IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea, May 2020. 

    Tran Viet Khoa, Yuris Mulya Saputra, Dinh Thai Hoang,Nguyen Linh Trung, Nguyen N Diep, Nguyen Viet Ha, and Eryk Dutkiewicz. Collaborative learning model for cyberattack detection systems in IoT industry 4.0. IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea, May 2020. 

    Other information

    Co-PI: Prof. Diep Nguyen

    SAME CATEGORY

    EEG signal processing from the computer vision perspective

    In this work, we study the processing of EEG signals in the image domain, i.e., visualizing the signal in the binary image and applying computer vision techniques for signal smoothing and classification. Some research questions are being investigated: 1. How well can we smooth the signal in the image domain? Here, we plot the interested […]

    Vision-based crack detection with crack propagation modeling

    In this work, the propagation of cracks on some materials, such as concrete, is analyzed, the best-fit model of which is employed for vision-based crack detection. Some research questions are being investigated: 1. What is the correlation between simulated crack propagation and real-world crack? Here, we measure the fitting errors between best-fit regression models of […]

    Machine learning based beacon placement optimization for indoor robots localization

    Indoor localization systems usually consist of transceiver with fixed positions, which are called beacons. These beacons act as landmarks for localizing objects that need to be positioned. One can easily see that the positions of beacons have a great impact on the performance of the localization system. The problem of beacon placement optimization is to […]