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 …

Xair: A systematic metareview of explainable ai (xai) aligned to the software development process

T Clement, N Kemmerzell, M Abdelaal… - Machine Learning and …, 2023 - mdpi.com
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 …

FastTraffic: A lightweight method for encrypted traffic fast classification

Y Xu, J Cao, K Song, Q Xiang, G Cheng - Computer Networks, 2023 - Elsevier
Nowadays, most Internet communications have adopted encrypted network access
technology for privacy protection, so encrypted traffic classification (ETC) has become a …

Improving performance, reliability, and feasibility in multimodal multitask traffic classification with XAI

A Nascita, A Montieri, G Aceto… - … on Network and …, 2023 - ieeexplore.ieee.org
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 …

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 …

Explainable and robust artificial intelligence for trustworthy resource management in 6G networks

N Khan, S Coleri, A Abdallah, A Celik… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

AI-powered Internet Traffic Classification: Past, Present, and Future

G Aceto, D Ciuonzo, A Montieri… - IEEE …, 2023 - ieeexplore.ieee.org
Traffic classification (TC) is pivotal for network traffic management and security. Over time,
TC solutions leveraging Artificial Intelligence (AI) have undergone significant advancements …

A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT

CY Shin, JT Park, UJ Baek, MS Kim - IEEE Access, 2023 - ieeexplore.ieee.org
While user-oriented service industries are rapidly growing, various network devices provide
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

I Guarino, G Aceto, D Ciuonzo… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
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 …

Wireless 6G connectivity for massive number of devices and critical services

AE Kalør, G Durisi, S Coleri, S Parkvall, W Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …