Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives
With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
Securing massive IoT in 6G: Recent solutions, architectures, future directions
A Alotaibi, A Barnawi - Internet of Things, 2023 - Elsevier
Abstract The Internet of things (IoT) is a fast evolving technology that enables the
development of smart services in numerous domains, such as transportation, health care …
development of smart services in numerous domains, such as transportation, health care …
Detection and classification of DDoS flooding attacks on software-defined networks: A case study for the application of machine learning
Software-defined networks (SDNs) offer robust network architectures for current and future
Internet of Things (IoT) applications. At the same time, SDNs constitute an attractive target for …
Internet of Things (IoT) applications. At the same time, SDNs constitute an attractive target for …
Review of botnet attack detection in SDN-enabled IoT Using machine learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …
revolutionized the computing fields. These include the broad spectrum of connectivity to …
[HTML][HTML] Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework
With the advent of internet and communication system, a huge number of opportunities have
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
been presented to humans, however, its vision will not be easy and comfortable. Instead the …
SDN-enabled FiWi-IoT smart environment network traffic classification using supervised ML models
Due to the rapid growth of the Internet of Things (IoT), applications such as the Augmented
Reality (AR)/Virtual Reality (VR), higher resolution media stream, automatic vehicle driving …
Reality (AR)/Virtual Reality (VR), higher resolution media stream, automatic vehicle driving …
Novel framework for an intrusion detection system using multiple feature selection methods based on deep learning
Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They
classify a network's incoming traffic as benign or anomalous (attack). An efficient and robust …
classify a network's incoming traffic as benign or anomalous (attack). An efficient and robust …