AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …

Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities

LU Khan, Z Han, W Saad, E Hossain… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Future wireless services will focus on improving the quality of life by enabling various
applications, such as extended reality, brain-computer interaction, and healthcare. These …

The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

Split computing and early exiting for deep learning applications: Survey and research challenges

Y Matsubara, M Levorato, F Restuccia - ACM Computing Surveys, 2022 - dl.acm.org
Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep
neural networks (DNNs) to execute complex inference tasks such as image classification …

A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

A Jagannath, J Jagannath, PSPV Kumar - Computer Networks, 2022 - Elsevier
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting

A Al-Shawabka, F Restuccia, S D'Oro… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Radio fingerprinting uniquely identifies wireless devices by leveraging tiny hardware-level
imperfections inevitably present in off-the-shelf radio circuitry. This way, devices can be …

Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN

K Ramezanpour, J Jagannath - Computer Networks, 2022 - Elsevier
In this position paper, we discuss the critical need for integrating zero trust (ZT) principles
into next-generation communication networks (5G/6G). We highlight the challenges and …

[HTML][HTML] Survey on recent advances in IoT application layer protocols and machine learning scope for research directions

PK Donta, SN Srirama, T Amgoth… - Digital Communications …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has been growing over the past few years due to its
flexibility and ease of use in real-time applications. The IoT's foremost task is ensuring that …

How machine learning changes the nature of cyberattacks on IoT networks: A survey

E Bout, V Loscri, A Gallais - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …