A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

[HTML][HTML] SDN and NFV for QoE-driven multimedia services delivery: The road towards 6G and beyond networks

AA Barakabitze, R Walshe - Computer Networks, 2022 - Elsevier
The concept for develo** the future mobile communication systems has been explored in
recent years with a vision towards 5G and 6G systems. Meeting performance targets such as …

[HTML][HTML] A Review of Transportation 5.0: Advancing Sustainable Mobility Through Intelligent Technology and Renewable Energy

M Shamsuddoha, MA Kashem, T Nasir - Future Transportation, 2025 - mdpi.com
Transportation 5.0 is an advanced and sophisticated system combining technologies with a
focus on human-centered design and inclusivity. Its various components integrate intelligent …

Ensemble-based deep learning model for network traffic classification

O Aouedi, K Piamrat, B Parrein - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Network Traffic Classification enables a number of practical applications ranging from
network monitoring to resource management, with security implications as well. Nowadays …

Low-cost traffic sensing system based on LoRaWAN for urban areas

HB Pasandi, A Haqiqat, A Moradbeikie… - Proceedings of the 1st …, 2022 - dl.acm.org
The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility of
wireless sensor networks for environmental traffic sensing across urban areas. In this study …

Addressing security challenges in industry 4.0: AVA-MA approach for strengthening SDN-IoT network security

RU Mageswari, GA MM - Computers & Security, 2024 - Elsevier
In the context of Industry 4.0, the convergence of the Internet of Things (IoT) and Software
Defined Networking (SDN) represents a challenging yet pivotal avenue for bolstering …

Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short‐Term Memory, and Autoencoder

G Wassie Geremew, J Ding - Journal of Computer Networks …, 2023 - Wiley Online Library
Currently, the widespread of real‐time applications such as VoIP and videos‐based
applications require more data rates and reduced latency to ensure better quality of service …

[HTML][HTML] Advancing 6G-IoT networks: Willow catkin packet transmission scheduling with AI and bayesian game-theoretic approach-based resource allocation.

AMA Ibrahim, Z Chen, HA Eljailany, G Yu, AA Ipaye… - Internet of Things, 2024 - Elsevier
The rapid expansion of mobile broadband networks and the proliferation of Internet of
Things (IoT) applications have substantially increased data transmission and processing …

Streaming traffic classification: a hybrid deep learning and big data approach

M Seydali, F Khunjush, J Dogani - Cluster Computing, 2024 - Springer
Massive amounts of real-time streaming network data are generated quickly because of the
exponential growth of applications. Analyzing patterns in generated flow traffic streaming …

Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions

O Aouedi, VA Le, K Piamrat, Y Ji - ACM Computing Surveys, 2024 - dl.acm.org
From the perspective of telecommunications, next-generation networks or beyond 5G will
inevitably face the challenge of a growing number of users and devices. Such growth results …