SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)

A Wani, R Khaliq - CAAI Transactions on Intelligence …, 2021 - Wiley Online Library
The participation of ordinary devices in networking has created a world of connected
devices rapidly. The Internet of Things (IoT) includes heterogeneous devices from every …

Deep learning approach for SDN-enabled intrusion detection system in IoT networks

R Chaganti, W Suliman, V Ravi, A Dua - Information, 2023 - mdpi.com
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …

IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …

A multi-layer classification approach for intrusion detection in iot networks based on deep learning

R Qaddoura, A M. Al-Zoubi, H Faris, I Almomani - Sensors, 2021 - mdpi.com
The security of IoT networks is an important concern to researchers and business owners,
which is taken into careful consideration due to its direct impact on the availability of the …

A comprehensive analyses of intrusion detection system for IoT environment

JCS Sicato, SK Singh, S Rathore… - Journal of Information …, 2020 - koreascience.kr
Abstract Nowadays, the Internet of Things (IoT) network, is increasingly becoming a
ubiquitous connectivity between different advanced applications such as smart cities, smart …

Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks

V Ravi, R Chaganti, M Alazab - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
A survey of the literature shows that the number of IoT attacks are gradually growing over the
years due to the growing trend of Internet-enabled devices. Software defined networking …

Intrusion detection system for Internet of Things based on a machine learning approach

C Liang, B Shanmugam, S Azam… - … on Vision Towards …, 2019 - ieeexplore.ieee.org
With the application of Internet of Things technology to every aspect of life, the potential
damage caused by Internet of things attacks is more serious than for traditional network …

Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)

MSA Muthanna, R Alkanhel, A Muthanna, A Rafiq… - IEEE …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …

Hybrid intrusion detection system for wireless IoT networks using deep learning algorithm

J Simon, N Kapileswar, PK Polasi… - Computers and Electrical …, 2022 - Elsevier
The intense growth of wireless communication and the digital revolution have increased the
utilization of Internet of Things (IoT) applications. The number of internet users increase …

A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …