A deep learning approach for effective intrusion detection in wireless networks using CNN

B Riyaz, S Ganapathy - Soft Computing, 2020 - Springer
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …

An intrusion detection system using optimized deep neural network architecture

M Ramaiah, V Chandrasekaran… - Transactions on …, 2021 - Wiley Online Library
Internet usage became increasingly ubiquitous. The concern regarding security and privacy
has become essential for Internet users. As the usage of the Internet increases the number …

A deep learning method with filter based feature engineering for wireless intrusion detection system

SM Kasongo, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
In recent years, the increased use of wireless networks for the transmission of large volumes
of information has generated a myriad of security threats and privacy concerns; …

An intrusion detection system for wireless sensor networks using deep neural network

V Gowdhaman, R Dhanapal - Soft Computing, 2022 - Springer
Wireless sensor network comprises of a large number of sensor nodes to acquire and
transmit data to the central location. However, due to resource constrained nodes …

A deep learning method with wrapper based feature extraction for wireless intrusion detection system

SM Kasongo, Y Sun - Computers & Security, 2020 - Elsevier
In the past decade, wired and wireless computer networks have substantially evolved
because of the rapid development of technologies such as the Internet of Things (IoT) …

Wireless network intrusion detection based on improved convolutional neural network

H Yang, F Wang - Ieee Access, 2019 - ieeexplore.ieee.org
The diversification of wireless network traffic attack characteristics has led to the problems
what traditional intrusion detection technology with high false positive rate, low detection …

A network intrusion detection method based on deep multi-scale convolutional neural network

X Wang, S Yin, H Li, J Wang, L Teng - International Journal of Wireless …, 2020 - Springer
Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

Intrusion detection in wireless sensor network using enhanced empirical based component analysis

L Zhiqiang, G Mohiuddin, Z Jiangbin, M Asim… - Future Generation …, 2022 - Elsevier
Nowadays, several kinds of attacks exist in cyberspace, and hence comprehensive research
has been implemented to overcome these drawbacks. One such method to provide security …

HDLNIDS: hybrid deep-learning-based network intrusion detection system

EUH Qazi, MH Faheem, T Zia - Applied Sciences, 2023 - mdpi.com
Attacks on networks are currently the most pressing issue confronting modern society.
Network risks affect all networks, from small to large. An intrusion detection system must be …

A novel wireless network intrusion detection method based on adaptive synthetic sampling and an improved convolutional neural network

Z Hu, L Wang, L Qi, Y Li, W Yang - IEEE Access, 2020 - ieeexplore.ieee.org
The diversity of network attacks poses severe challenges to intrusion detection systems
(IDSs). Traditional attack recognition methods usually adopt mining data associations to …