[HTML][HTML] CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …
world more closely than ever before. However, the growing number of connected devices …
[HTML][HTML] Approach for detecting attacks on IoT networks based on ensemble feature selection and deep learning models
The Internet of Things (IoT) has transformed our interaction with technology and introduced
security challenges. The growing number of IoT attacks poses a significant threat to …
security challenges. The growing number of IoT attacks poses a significant threat to …
[HTML][HTML] An intrusion detection system using BoT-IoT
S Alosaimi, SM Almutairi - Applied Sciences, 2023 - mdpi.com
The rapid growth of the Internet of Things (IoT) has led to an increased automation and
interconnectivity of devices without requiring user intervention, thereby enhancing the …
interconnectivity of devices without requiring user intervention, thereby enhancing the …
Internet of Things attack detection using hybrid Deep Learning Model
Abstract The Internet of Things (IoT) has become a very popular area of research due to its
large-scale implementation and challenges. However, security is the key concern while …
large-scale implementation and challenges. However, security is the key concern while …
Detecting botnet attacks in IoT environments: An optimized machine learning approach
MN Injadat, A Moubayed… - 2020 32nd International …, 2020 - ieeexplore.ieee.org
The increased reliance on the Internet and the corresponding surge in connectivity demand
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
Internet of things cyber attacks detection using machine learning
J Alsamiri, K Alsubhi - International Journal of Advanced …, 2019 - search.proquest.com
Abstract The Internet of Things (IoT) combines hundreds of millions of devices which are
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …
[PDF][PDF] Botnet attacks detection in internet of things using machine learning
The number of Internet-of-Things (IoT) devices has significantly expanded as a result of the
growing reliance on the Internet and the associated rise in connectivity demand. According …
growing reliance on the Internet and the associated rise in connectivity demand. According …
[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.
H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …
that constantly share data, analyze, and make decisions while connected to the internet …
[HTML][HTML] Deep-learning based detection for cyber-attacks in IoT networks: A distributed attack detection framework
The widespread use of smart devices and the numerous security weaknesses of networks
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …
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 …