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 …

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 …

Robust Anomaly Detection in IoT Networks using Deep SVDD and Contractive Autoencoder

S Aktar, AY Nur - 2024 IEEE International Systems Conference …, 2024 - ieeexplore.ieee.org
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 …

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 …

Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning

M Balega, W Farag, XW Wu, S Ezekiel, Z Good - Electronics, 2024 - mdpi.com
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 …

Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review

MA Alsoufi, S Razak, MM Siraj, I Nafea, FA Ghaleb… - Applied sciences, 2021 - mdpi.com
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 …

Deep learning-enabled anomaly detection for IoT systems

A Abusitta, GHS de Carvalho, OA Wahab, T Halabi… - Internet of Things, 2023 - Elsevier
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 …

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 …

[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 …

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 …