Design and development of a deep learning-based model for anomaly detection in IoT networks
I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
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 …
Data transformation schemes for cnn-based network traffic analysis: A survey
J Krupski, W Graniszewski, M Iwanowski - Electronics, 2021 - mdpi.com
The enormous growth of services and data transmitted over the internet, the bloodstream of
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …
IoT DoS and DDoS attack detection using ResNet
The network attacks are increasing both in frequency and intensity with the rapid growth of
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …
ML‐DDoSnet: IoT intrusion detection based on denial‐of‐service attacks using machine learning methods and NSL‐KDD
M Esmaeili, SH Goki, BHK Masjidi… - Wireless …, 2022 - Wiley Online Library
The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …
protected by integrity, confidentiality, and authentication services. The network is protected …
A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment
R Kozik, M Pawlicki, M Choraś - Pattern Analysis and Applications, 2021 - Springer
Abstract The Internet of Things (IoT) appliances often expose sensitive data, either directly or
indirectly. They may, for instance, tell whether you are at home right now or what your long …
indirectly. They may, for instance, tell whether you are at home right now or what your long …
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 …
A deep hierarchical network for packet-level malicious traffic detection
B Wang, Y Su, M Zhang, J Nie - IEEE Access, 2020 - ieeexplore.ieee.org
As an essential part of the network-based intrusion detection systems (IDS), malicious traffic
detection using deep learning methods has become a research focus in network intrusion …
detection using deep learning methods has become a research focus in network intrusion …
Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system
AS Hati - Expert Systems With Applications, 2022 - Elsevier
Poor airflow ventilation systems fetch a progressively critical challenge for many working
areas, which transmits many calamitous physical consequences on operatives' health and …
areas, which transmits many calamitous physical consequences on operatives' health and …
An abnormal traffic detection method for IoT devices based on federated learning and depthwise separable convolutional neural networks
Q **a, S Dong, T Peng - 2022 IEEE International Performance …, 2022 - ieeexplore.ieee.org
As a bridge for information interaction between people and things, and things and things, IoT
devices bring security issues and data privacy protection issues that have always been the …
devices bring security issues and data privacy protection issues that have always been the …
An attention-based convolutional neural network for intrusion detection model
Z Wang, FA Ghaleb - IEEE Access, 2023 - ieeexplore.ieee.org
Network technology has had a distinctive impact on the entire human civilization and has
become an important factor of production in many countries and regions. However, with the …
become an important factor of production in many countries and regions. However, with the …