Deep learning approach for cyberattack detection
With the accelerated growth of internet of things IoT application in recent years, cities have
become smarter to optimize resource and improved the quality of life for residents. On the …
become smarter to optimize resource and improved the quality of life for residents. On the …
Deep learning based attack detection for cyber-physical system cybersecurity: A survey
With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
Energy analysis-based cyber attack detection by IoT with artificial intelligence in a sustainable smart city
Cybersecurity continues to be a major issue for all industries engaged in digital activity given
the cyclical surge in security incidents. Since more Internet of Things (IoT) devices are being …
the cyclical surge in security incidents. Since more Internet of Things (IoT) devices are being …
[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things
S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …
IMIDS: An intelligent intrusion detection system against cyber threats in IoT
The increasing popularity of the Internet of Things (IoT) has significantly impacted our daily
lives in the past few years. On one hand, it brings convenience, simplicity, and efficiency for …
lives in the past few years. On one hand, it brings convenience, simplicity, and efficiency for …
Increasing the trustworthiness in the industrial IoT networks through a reliable cyberattack detection model
The trustworthiness of an industrial Internet of Things (IIoT) network is an important
stakeholder expectation. Maintaining the trustworthiness of such a network is crucial to void …
stakeholder expectation. Maintaining the trustworthiness of such a network is crucial to void …
IoT-Fog-Cloud model for anomaly detection using improved Naïve Bayes and principal component analysis
S Manimurugan - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Abstract Internet of Things (IoT) is one of the significant emerging domains in computing. IoT
structures the base of future infrastructures, developing the advancement of future smart …
structures the base of future infrastructures, developing the advancement of future smart …
Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks
Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning
The fast growth of Internet of Things (IoT) gadgets and 5G networks has increased linkage
and accessibility. However, growing interconnectivity poses new threat levels in these …
and accessibility. However, growing interconnectivity poses new threat levels in these …
Anomaly-based intrusion detection system for IoT networks through deep learning model
Abstract The Internet of Things (IoT) idea has been developed to enhance people's lives by
delivering a diverse range of smart interconnected devices and applications in several …
delivering a diverse range of smart interconnected devices and applications in several …