AI and 6G security: Opportunities and challenges

Y Siriwardhana, P Porambage… - 2021 Joint European …, 2021 - ieeexplore.ieee.org
While 5G is well-known for network cloudification with micro-service based architecture, the
next generation networks or the 6G era is closely coupled with intelligent network …

A comprehensive survey on client selections in federated learning

A Gouissem, Z Chkirbene, R Hamila - arXiv preprint arXiv:2311.06801, 2023 - arxiv.org
Federated Learning (FL) is a rapidly growing field in machine learning that allows data to be
trained across multiple decentralized devices. The selection of clients to participate in the …

A weighted machine learning-based attacks classification to alleviating class imbalance

Z Chkirbene, A Erbad, R Hamila… - IEEE Systems …, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has become very popular in recent years. However,
IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with …

Data augmentation for intrusion detection and classification in cloud networks

Z Chkirbene, HB Abdallah, K Hassine… - 2021 International …, 2021 - ieeexplore.ieee.org
Cloud computing is a paradigm that provides multiple services over the internet with high
flexibility in a cost-effective way. However, the growth of cloud-based services comes with …

Cooperative machine learning techniques for cloud intrusion detection

Z Chkirbene, R Hamila, A Erbad… - 2021 International …, 2021 - ieeexplore.ieee.org
Cloud computing is attracting a lot of attention in the past few years. Although, even with its
wide acceptance, cloud security is still one of the most essential concerns of cloud …

Secure medical data sharing for healthcare system

Z Chkirbene, R Hamila, A Erbad - 2022 IEEE 33rd Annual …, 2022 - ieeexplore.ieee.org
A new generation of advanced information technologies are used nowadays by healthcare
systems to provide access to affordable and high-quality healthcare services. However, such …

Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities

A Rahman, D Kundu, T Debnath, M Rahman… - arXiv preprint arXiv …, 2024 - arxiv.org
Currently, Blockchain (BC), Artificial Intelligence (AI), and smart Industrial Internet of Things
(IIoT) are not only leading promising technologies in the world, but also these technologies …

A Comprehensive Survey on Energy Efficiency in Federated Learning: Strategies and Challenges

A Gouissem, Z Chkirbene… - 2024 IEEE 8th Energy …, 2024 - ieeexplore.ieee.org
Federated Learning (FL), a burgeoning approach in machine learning, facilitates
collaborative model training across distributed devices while maintaining data privacy …

The Future of Aerial Communications: A Survey of IRS-Enhanced UAV Communication Technologies

Z Chkirbene, A Gouissem, R Hamila… - 2024 IEEE 8th Energy …, 2024 - ieeexplore.ieee.org
The advent of Intelligent Reflecting Surfaces (IRS) and Unmanned Aerial Vehicles (UAVs) is
setting a new benchmark in the field of wireless communications. IRS, with their …

Artificial intelligence and machine learning-based security enforcement techniques for 6G communication

D Kaleeswaran, R Vijayarajeswari… - Handbook of Research …, 2022 - igi-global.com
The next generation 6G era is considered to be highly coupled with intelligent network
management and orchestration, while 5G is completely renowned for micro-service …