Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
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 …
Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
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 …
Design and development of a deep learning-based model for anomaly detection in IoT networks
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques
Abstract IoT (Internet of Things) systems are still facing a great number of attacks due to their
integration in several areas of life. The most-reported attacks against IoT systems are" …
integration in several areas of life. The most-reported attacks against IoT systems are" …
Design and development of RNN anomaly detection model for IoT networks
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
Intrusion detection system for internet of things based on temporal convolution neural network and efficient feature engineering
A Derhab, A Aldweesh, AZ Emam… - … and Mobile Computing, 2020 - Wiley Online Library
In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …
data traffic that feed big data analytics, which could be used in discovering unseen patterns …
smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is sha** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
Fidchain: Federated intrusion detection system for blockchain-enabled iot healthcare applications
Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …
healthcare applications; however, they suffer from a lack of intrusion detection systems …
A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks
Abstract The Internet of Things (IoT) is a modern age technology, designed with the vision to
connect and also interconnect all the objects everywhere. Technological progressions …
connect and also interconnect all the objects everywhere. Technological progressions …