Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G

M Vaezi, A Azari, SR Khosravirad… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

Survey on 6G frontiers: Trends, applications, requirements, technologies and future research

C De Alwis, A Kalla, QV Pham, P Kumar… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

Analysis of the challenges of artificial intelligence of things (AIoT) for the smart supply chain (case study: FMCG industries)

H Nozari, A Szmelter-Jarosz, J Ghahremani-Nahr - Sensors, 2022 - mdpi.com
In today's competitive world, supply chain management is one of the fundamental issues
facing businesses that affects all an organization's activities to produce products and provide …

Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0

Y Wu, HN Dai, H Wang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …

Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems

M Macas, C Wu, W Fuertes - Expert Systems with Applications, 2024 - Elsevier
Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

M Macas, C Wu, W Fuertes - Computer Networks, 2022 - Elsevier
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Complementing IoT services through software defined networking and edge computing: A comprehensive survey

W Rafique, L Qi, I Yaqoob, M Imran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Millions of sensors continuously produce and transmit data to control real-world
infrastructures using complex networks in the Internet of Things (IoT). However, IoT devices …

A review of recent approaches on wrapper feature selection for intrusion detection

J Maldonado, MC Riff, B Neveu - Expert Systems with Applications, 2022 - Elsevier
In this paper, we present a review of recent advances in wrapper feature selection
techniques for attack detection and classification, applied in intrusion detection area. Due to …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …