Boost‐Defence for resilient IoT networks: A head‐to‐toe approach

Q Abu Al‐Haija, A Al Badawi, GR Bojja - Expert Systems, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is an emerging technology that is considered a key
enabler for next‐generation smart cities, industries, security services and economies. IoT …

A machine learning solution for securing the internet of things infrastructures

A Abdel-Monem… - Sustainable Machine …, 2022 - sciencesforce.com
Securing Internet of Things (IoT) infrastructures against ever-evolving cyber threats remains
a critical challenge in the era of interconnected devices. In this paper, we present a novel …

Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks

Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …

IoT network security: Threats, risks, and a data-driven defense framework

C Wheelus, X Zhu - IoT, 2020 - mdpi.com
The recent surge in Internet of Things (IoT) deployment has increased the pace of
integration and extended the reach of the Internet from computers, tablets and phones to a …

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 …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

Intrusion detection in IoT networks using deep learning algorithm

B Susilo, RF Sari - Information, 2020 - mdpi.com
The internet has become an inseparable part of human life, and the number of devices
connected to the internet is increasing sharply. In particular, Internet of Things (IoT) devices …

A systematic review of data-driven attack detection trends in IoT

S Haque, F El-Moussa, N Komninos, R Muttukrishnan - Sensors, 2023 - mdpi.com
The Internet of Things is perhaps a concept that the world cannot be imagined without today,
having become intertwined in our everyday lives in the domestic, corporate and industrial …

IoT network security: requirements, threats, and countermeasures

A Hamza, HH Gharakheili, V Sivaraman - arXiv preprint arXiv:2008.09339, 2020 - arxiv.org
IoT devices are increasingly utilized in critical infrastructure, enterprises, and households.
There are several sophisticated cyber-attacks that have been reported and many networks …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …