Blockchain-based federated learning for securing internet of things: A comprehensive survey

W Issa, N Moustafa, B Turnbull, N Sohrabi… - ACM Computing …, 2023 - dl.acm.org
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P Xiong… - Internet of Things, 2023 - Elsevier
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …

[HTML][HTML] An explainable deep learning-enabled intrusion detection framework in IoT networks

M Keshk, N Koroniotis, N Pham, N Moustafa… - Information …, 2023 - Elsevier
Although the field of eXplainable Artificial Intelligence (XAI) has a significant interest these
days, its implementation within cyber security applications still needs further investigation to …

[PDF][PDF] Voting Classifier and Metaheuristic Optimization for Network Intrusion Detection.

DS Khafaga, FK Karim, AA Abdelhamid… - … , Materials & Continua, 2023 - academia.edu
Managing physical objects in the network's periphery is made possible by the Internet of
Things (IoT), revolutionizing human life. Open attacks and unauthorized access are possible …

Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

A systematic literature review for network intrusion detection system (IDS)

OH Abdulganiyu, T Ait Tchakoucht… - International journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …

[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …

RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network

GO Anyanwu, CI Nwakanma, JM Lee, DS Kim - Ad Hoc Networks, 2023 - Elsevier
The development of the intelligent transport space (ITS) comes with the challenge of
securing transportation data. As the vehicular network is highly dynamic, the network …

[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets

A Nazir, J He, N Zhu, A Wajahat, X Ma, F Ullah… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

H Kheddar, Y Himeur, AI Awad - Journal of Network and Computer …, 2023 - Elsevier
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …