A secure and efficient IIoT anomaly detection approach using a hybrid deep learning technique
BR Konatham - 2023 - corescholar.libraries.wright.edu
Abstract The Industrial Internet of Things (IIoT) refers to a set of smart devices, ie, actuators,
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
A Secure Hybrid Deep Learning Technique for Anomaly Detection in IIoT Edge Computing
B Konatham, T Simra, F Amsaad, MI Ibrahem… - Authorea …, 2024 - essopenarchive.org
The IIoT network involves smart sensors, actuators, and technologies extending IoT
capabilities across industrial sectors. With the rapid development in connected technology …
capabilities across industrial sectors. With the rapid development in connected technology …
Robust Anomaly Detection in IoT Networks using Deep SVDD and Contractive Autoencoder
Securing Internet of Things (IoT) devices against threats is crucial due to their significant
impact on cyber-physical systems. Traditional intrusion detection systems often fall short in …
impact on cyber-physical systems. Traditional intrusion detection systems often fall short in …
Anomaly detection for iot systems using active learning
M Zakariah, AS Almazyad - Applied Sciences, 2023 - mdpi.com
The prevalence of Internet of Things (IoT) technologies is on the rise, making the
identification of anomalies in IoT systems crucial for ensuring their security and reliability …
identification of anomalies in IoT systems crucial for ensuring their security and reliability …
Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning
As the Internet of Things (IoT) continues to evolve, securing IoT networks and devices
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Deep learning-enabled anomaly detection for IoT systems
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …
industries and government services. Unfortunately, IoT devices and networks are known to …
Anomaly-based detection technique using deep learning for Internet of Things: A Survey
H Ismaeel, W Elmedany - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Cyber-attacks are increasing dramatically and becoming an inevitable threat which is
challenging to eliminate. These attacks include broad range of internal intrusions and …
challenging to eliminate. These attacks include broad range of internal intrusions and …
[PDF][PDF] DL-Powered anomaly identification system for enhanced IoT Data Security
M Kolhar, SM Aldossary - Computers, Materials & Continua, 2023 - cdn.techscience.cn
In many commercial and public sectors, the Internet of Things (IoT) is deeply embedded.
Cyber security threats aimed at compromising the security, reliability, or accessibility of data …
Cyber security threats aimed at compromising the security, reliability, or accessibility of data …
Advances in ml-based anomaly detection for the iot
C Lübben, MO Pahl - 2021 5th Cyber Security in Networking …, 2021 - ieeexplore.ieee.org
The Internet of Things drives many activities in our modern world. Through its heterogeneity
and connectivity to the Internet, it provides an attractive and big attack surface. Anomaly …
and connectivity to the Internet, it provides an attractive and big attack surface. Anomaly …
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