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Enabling Technologies for Web 3.0: A Comprehensive Survey
Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh +9
Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution can potentially…
Generative AI for Physical Layer Communications: A Survey
Nguyen Van Huynh, Jiacheng Wang, Hongyang Du +5
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of groundbreaking applications such as ChatGPT, which not only enhances the efficiency of di…
Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang +3
Intrusion detection systems (IDSs) play a critical role in protecting billions of IoT devices from malicious attacks. However, the IDSs for IoT devices face inherent challenges of…
Securing MIMO Wiretap Channel with Learning-Based Friendly Jamming under Imperfect CSI
Bui Minh Tuan, Diep N. Nguyen, Nguyen Linh Trung +5
Wireless communications are particularly vulnerable to eavesdropping attacks due to their broadcast nature. To effectively deal with eavesdroppers, existing security techniques usu…
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali +5
Deep Neural Networks (DNNs) have been the driving force behind many of the recent advances in machine learning. However, research has shown that DNNs are vulnerable to adversarial…
Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +1
The ability to sense, localize, and estimate the 3D position and orientation of the human body is critical in virtual reality (VR) and extended reality (XR) applications. This beco…