Advancing education through extended reality and internet of everything enabled metaverses: applications, challenges, and open issues
SK Jagatheesaperumal, K Ahmad… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Metaverse has evolved as one of the popular research agenda that let users learn, socialize,
and collaborate in a networked 3-D immersive virtual world. Due to the rich multimedia …
and collaborate in a networked 3-D immersive virtual world. Due to the rich multimedia …
Xair: A systematic metareview of explainable ai (xai) aligned to the software development process
Currently, explainability represents a major barrier that Artificial Intelligence (AI) is facing in
regard to its practical implementation in various application domains. To combat the lack of …
regard to its practical implementation in various application domains. To combat the lack of …
FastTraffic: A lightweight method for encrypted traffic fast classification
Nowadays, most Internet communications have adopted encrypted network access
technology for privacy protection, so encrypted traffic classification (ETC) has become a …
technology for privacy protection, so encrypted traffic classification (ETC) has become a …
Improving performance, reliability, and feasibility in multimodal multitask traffic classification with XAI
The promise of Deep Learning (DL) in solving hard problems such as network Traffic
Classification (TC) is being held back by the severe lack of transparency and explainability …
Classification (TC) is being held back by the severe lack of transparency and explainability …
Next Generation AI-Based Firewalls: A Comparative Study
S Ahmadi - International Journal of Computer (IJC), 2023 - hal.science
Cybersecurity is a critical concern in the digital age, demanding innovative approaches to
safeguard sensitive information and systems. This paper conducts a thorough examination …
safeguard sensitive information and systems. This paper conducts a thorough examination …
Explainable and robust artificial intelligence for trustworthy resource management in 6G networks
Artificial intelligence (AI) is expected to be an integral part of radio resource management
(RRM) in sixth-generation (6G) networks. However, the opaque nature of complex deep …
(RRM) in sixth-generation (6G) networks. However, the opaque nature of complex deep …
AI-powered Internet Traffic Classification: Past, Present, and Future
Traffic classification (TC) is pivotal for network traffic management and security. Over time,
TC solutions leveraging Artificial Intelligence (AI) have undergone significant advancements …
TC solutions leveraging Artificial Intelligence (AI) have undergone significant advancements …
A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT
While user-oriented service industries are rapidly growing, various network devices provide
these services through different access paths. Accordingly, the network flow is also …
these services through different access paths. Accordingly, the network flow is also …
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps
Significant in lifestyle have reshaped the Internet landscape, resulting in notable shifts in
both the magnitude of Internet traffic and the diversity of apps utilized. The increased …
both the magnitude of Internet traffic and the diversity of apps utilized. The increased …
Wireless 6G connectivity for massive number of devices and critical services
Compared to the generations up to 4G, whose main focus was on broadband and coverage
aspects, 5G has expanded the scope of wireless cellular systems towards embracing two …
aspects, 5G has expanded the scope of wireless cellular systems towards embracing two …