A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection
The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an
extensive range of communication protocols. Hence, these systems face susceptibility to …
extensive range of communication protocols. Hence, these systems face susceptibility to …
Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)
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 …
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …
IoT security with Deep Learning-based Intrusion Detection Systems: A systematic literature review
In the recent years, Internet of things (IoT) is rising increasingly to become a big research
topic due to the billions of devices dispatched around the world. These devices are …
topic due to the billions of devices dispatched around the world. These devices are …
An efficient security framework for intrusion detection and prevention in internet-of-things using machine learning technique.
T Nagaraj, RK Channarayappa - International Journal of …, 2024 - search.ebscohost.com
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart
devices to improve quality of life. However, anomalies or malicious intrusions pose several …
devices to improve quality of life. However, anomalies or malicious intrusions pose several …
[PDF][PDF] Evaluation on bot-IoT dataset enabled reducing false alarm rate for IoT threats
The growth of Internet of Things (IoT) devices has been increasing day by day. Its
widespread adoption is significantly simplifying our daily tasks. However, the increasing …
widespread adoption is significantly simplifying our daily tasks. However, the increasing …
A lightweight DNN-based ids for detecting IoT cyberattacks in edge computing
TM Hoang, TA Pham, VV Do… - 2022 International …, 2022 - ieeexplore.ieee.org
With the continuous growth of the Internet of Things applications, increasingly sophisticated
and malicious network security attacks have been posing new security requirements. One of …
and malicious network security attacks have been posing new security requirements. One of …
A hybrid deep random neural network for cyberattack detection in the industrial internet of things
The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT)
concepts in industrial sectors and applications. IIoT has several applications in smart homes …
concepts in industrial sectors and applications. IIoT has several applications in smart homes …
A study on heuristic algorithms combined with lr on a dnn-based ids model to detect iot attacks
Current security challenges are made more difficult by the complexity and difficulty of
spotting cyberattacks due to the Internet of Things explosive growth in connected devices …
spotting cyberattacks due to the Internet of Things explosive growth in connected devices …
A Novel Deep Learning-based Approach to encounter cyber threats in IIoT
SNA Shah, G Ahmed, A Akhunzada… - 2022 Mohammad Ali …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is a growing field and it has reached the multi-million dollar market.
The research in the field of IoT, networks and AI is in initial stages due to the growing nature …
The research in the field of IoT, networks and AI is in initial stages due to the growing nature …
[HTML][HTML] ROAST-IoT: a novel range-optimized attention convolutional scattered technique for intrusion detection in IoT networks
A Mahalingam, G Perumal, G Subburayalu, M Albathan… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has significantly benefited several businesses, but because of
the volume and complexity of IoT systems, there are also new security issues. Intrusion …
the volume and complexity of IoT systems, there are also new security issues. Intrusion …