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 …
A systematic review on machine learning and deep learning models for electronic information security in mobile networks
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …
tremendous volume of data being generated. Most of our information is part of a widespread …
Stroke risk prediction with machine learning techniques
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection
A robust network intrusion detection system (NIDS) plays an important role in cyberspace
security for protecting confidential systems from potential threats. In real world network, there …
security for protecting confidential systems from potential threats. In real world network, there …
[HTML][HTML] Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection
M Schmitt - Journal of Industrial Information Integration, 2023 - Elsevier
The last decades have been characterized by unprecedented technological advances,
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
A new ensemble-based intrusion detection system for internet of things
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …
years by drastically transforming human lives to automate their ordinary daily tasks. This is …
A tree-based stacking ensemble technique with feature selection for network intrusion detection
Several studies have used machine learning algorithms to develop intrusion systems (IDS),
which differentiate anomalous behaviours from the normal activities of network systems. Due …
which differentiate anomalous behaviours from the normal activities of network systems. Due …
As-ids: Anomaly and signature based ids for the internet of things
Abstract The Internet of Things (IoT) is a massively extensive environment that can manage
many diverse applications. Security is critical due to potential malicious threats and the …
many diverse applications. Security is critical due to potential malicious threats and the …
An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection
Traditional ML based IDS cannot handle high-speed and ever-evolving attacks.
Furthermore, these traditional IDS face several common challenges, such as processing …
Furthermore, these traditional IDS face several common challenges, such as processing …
Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing
Cloud computing is a preferred option for organizations around the globe, it offers scalable
and internet-based computing resources as a flexible service. Security is a key concern …
and internet-based computing resources as a flexible service. Security is a key concern …