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[HTML][HTML] Cyber security: State of the art, challenges and future directions
Cyber security has become a very critical concern that needs the attention of researchers,
academicians, and organizations to confidentially ensure the protection and security of …
academicians, and organizations to confidentially ensure the protection and security of …
Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
[HTML][HTML] DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system
In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …
practically, and computers communicate with one another over the Internet. As a result, there …
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Intrusion detection system using feature extraction with machine learning algorithms in IoT
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …
been shown in internet security, specifically focusing on protecting these vulnerable devices …
A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …
[HTML][HTML] Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a develo** technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
Association rule learning for threat analysis using traffic analysis and packet filtering approach
The Mirai botnet source code, which was distributed on the dark web, is still changing as
malware designers modify it to produce more sophisticated varieties of the botnet—the …
malware designers modify it to produce more sophisticated varieties of the botnet—the …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Internet of things: Evolution, concerns and security challenges
The escalated growth of the Internet of Things (IoT) has started to reform and reshape our
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
lives. The deployment of a large number of objects adhered to the internet has unlocked the …