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 …
Machine learning based solutions for security of Internet of Things (IoT): A survey
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …
aspect of our daily lives by advancing human life with its unaccountable smart services …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
A comprehensive survey and taxonomy of the SVM-based intrusion detection systems
The increasing number of security attacks have inspired researchers to employ various
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …
Internet of Things: A survey on machine learning-based intrusion detection approaches
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …
always increasing. Computer security has become a necessity due to the proliferation 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 …
Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings
Abstract Internet of Things (IoT) provides to everyone new types of services in order to
improve everyday life. Through this new technology, other recently developed technologies …
improve everyday life. Through this new technology, other recently developed technologies …
Comparative research on network intrusion detection methods based on machine learning
C Zhang, D Jia, L Wang, W Wang, F Liu, A Yang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …
detects intrusion behaviors through active defense technology and takes emergency …
An explainable machine learning framework for intrusion detection systems
M Wang, K Zheng, Y Yang, X Wang - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, machine learning-based intrusion detection systems (IDSs) have proven to
be effective; especially, deep neural networks improve the detection rates of intrusion …
be effective; especially, deep neural networks improve the detection rates of intrusion …
Cyber intrusion detection by combined feature selection algorithm
S Mohammadi, H Mirvaziri… - Journal of information …, 2019 - Elsevier
Due to the widespread diffusion of network connectivity, the demand for network security
and protection against cyber-attacks is ever increasing. Intrusion detection systems (IDS) …
and protection against cyber-attacks is ever increasing. Intrusion detection systems (IDS) …