[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT
M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …
years. The instantaneous development in deploying constrained devices in numerous areas …
Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach
Abstract The Internet of Things (IoT) is currently seeing tremendous growth due to new
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …
technologies and big data. Research in the field of IoT security is an emerging topic. IoT …
A novel deep learning-based intrusion detection system for IOT networks
A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks
Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
Anomaly detection on iot network intrusion using machine learning
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …
information technology community faces. With large scales of IoT devices being developed …
[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …
security of interconnected devices and networks. This necessitates the use of efficient …
A stacked deep learning approach for IoT cyberattack detection
B Alotaibi, M Alotaibi - Journal of Sensors, 2020 - Wiley Online Library
Internet of things (IoT) devices and applications are dramatically increasing worldwide,
resulting in more cybersecurity challenges. Among these challenges are malicious activities …
resulting in more cybersecurity challenges. Among these challenges are malicious activities …
Examining the suitability of NetFlow features in detecting IoT network intrusions
The past few years have witnessed a substantial increase in cyberattacks on Internet of
Things (IoT) devices and their networks. Such attacks pose a significant threat to …
Things (IoT) devices and their networks. Such attacks pose a significant threat to …
EIDM: deep learning model for IoT intrusion detection systems
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …