Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is shaping 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 …
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …
addressing countless limitation of traditional health-care systems such as quality of patient …
A secure ensemble learning-based fog-cloud approach for cyberattack detection in IoMT
The Internet of Medical Things (IoMT) effectively tackles several shortcomings of
conventional healthcare systems. It includes medical personnel shortages, patient care …
conventional healthcare systems. It includes medical personnel shortages, patient care …
Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
Intelligent techniques for detecting network attacks: review and research directions
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …
technologies are associated with an increased risk of network attacks. Network attacks refer …
[HTML][HTML] Intrusion detection system in cloud environment: Literature survey & future research directions
S Lata, D Singh - International Journal of Information Management Data …, 2022 - Elsevier
The cloud provides infrastructure, applications, and storage services to users that need to be
protected by some policies or procedures. Hence, security in the cloud is to protect user data …
protected by some policies or procedures. Hence, security in the cloud is to protect user data …
Machine learning and deep learning methods for intrusion detection systems in iomt: A survey
The integration of healthcare-related sensors and devices into IoT has resulted in the
evolution of the IoMT (Internet of Medical Things). IoMT that can be viewed as an …
evolution of the IoMT (Internet of Medical Things). IoMT that can be viewed as an …
Ensemble classifiers for network intrusion detection using a novel network attack dataset
Due to the extensive use of computer networks, new risks have arisen, and improving the
speed and accuracy of security mechanisms has become a critical need. Although new …
speed and accuracy of security mechanisms has become a critical need. Although new …
Network intrusion detection using oversampling technique and machine learning algorithms
The expeditious growth of the World Wide Web and the rampant flow of network traffic have
resulted in a continuous increase of network security threats. Cyber attackers seek to exploit …
resulted in a continuous increase of network security threats. Cyber attackers seek to exploit …