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Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …
between different communicating devices. The data should be communicated securely …
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 …
Machine learning-based network vulnerability analysis of industrial Internet of Things
It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially
devastating consequences in case of an attack. Machine learning (ML) and big data …
devastating consequences in case of an attack. Machine learning (ML) and big data …
A deep learning approach for intrusion detection in Internet of Things using focal loss function
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …
transportation, manufacturing, military, agriculture, and other industries. However, for the …
Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review
Recently years, we have seen the exponential upgrowth of the Industrial Internet of Things
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …
(IIoT), which brings significant benefits to our daily lives, industry, and society. The common …
[HTML][HTML] Intrusion detection models for IOT networks via deep learning approaches
Abstract The Internet of things (IoT) has gained more attention in recent years because of its
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …
A hybrid intrusion detection system based on sparse autoencoder and deep neural network
KN Rao, KV Rao, PR PVGD - Computer Communications, 2021 - Elsevier
A large number of attacks are launched daily in the era of the internet and with a large
number of users. Nowadays, effective detection of numerous attacks using the Intrusion …
number of users. Nowadays, effective detection of numerous attacks using the Intrusion …
[HTML][HTML] An artificial intelligence-based collaboration approach in industrial iot manufacturing: Key concepts, architectural extensions and potential applications
The digitization of manufacturing industry has led to leaner and more efficient production,
under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and …
under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and …
IADF-CPS: Intelligent anomaly detection framework towards cyber physical systems
Abstract Cyber–Physical Systems (CPSs) becoming one of the most complex, intelligent,
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …