A survey of CNN-based network intrusion detection

L Mohammadpour, TC Ling, CS Liew, A Aryanfar - Applied Sciences, 2022 - mdpi.com
Over the past few years, Internet applications have become more advanced and widely
used. This has increased the need for Internet networks to be secured. Intrusion detection …

Genetic convolutional neural network for intrusion detection systems

MT Nguyen, K Kim - Future Generation Computer Systems, 2020 - Elsevier
Intrusion detection is the identification of unauthorized access of a computer network. This
paper proposes a novel algorithm for a network intrusion detection system (NIDS) using an …

Anomaly detection and trust authority in artificial intelligence and cloud computing

KN Qureshi, G Jeon, F Piccialli - Computer Networks, 2021 - Elsevier
The rapid development of smart Internet of Things (IoT) and its multimedia applications with
conventional cloud and edge computing platforms are driving a new trend that shifts the …

[HTML][HTML] A deep long short-term memory based classifier for wireless intrusion detection system

SM Kasongo, Y Sun - ICT Express, 2020 - Elsevier
Wireless networks have evolved over the years and they have become some of the most
prominent communication media. These networks generally transmit large volumes of …

Intrusion detection and prevention in networks using machine learning and deep learning approaches: a review

JA Abraham, VR Bindu - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
As network services are used more and more, security is considered one of the main and
important concerns of the network. Many computers connected to the network play important …

A smart collaborative authentication framework for multi-dimensional fine-grained control

Z Ai, Y Liu, L Chang, F Lin, F Song - IEEE Access, 2019 - ieeexplore.ieee.org
The emergence of the 5G network has brought broad prospects for the massive terminal
access and ubiquitous Internet of Things (IoTs). Potential attacking opportunities triggered …

An efficient intrusion detection model based on convolutional spiking neural network

Z Wang, FA Ghaleb, A Zainal, MM Siraj, X Lu - Scientific Reports, 2024 - nature.com
Many intrusion detection techniques have been developed to ensure that the target system
can function properly under the established rules. With the booming Internet of Things (IoT) …

A Survey on Intrusion Detection and Prevention Systems

N Gupta, V Jindal, P Bedi - SN Computer Science, 2023 - Springer
In the digital world, malicious activities that violate the confidentiality, integrity, or availability
of data and devices are known as intrusions. An intrusion detection system (IDS) analyses …

[HTML][HTML] A novel method for effective intrusion detection based on convolutional speaking neural networks

Y Xie, H Chen - Journal of King Saud University-Computer and …, 2024 - Elsevier
These days, most people can't imagine their life without their networks. People rely more
and more on networks as new technologies like 5G and the Internet of Things proliferate …

A revolutionary approach to use convolutional spiking neural networks for robust intrusion detection

Y Lin, X Xu, H Xu - Cluster Computing, 2024 - Springer
In an era dominated by network connectivity, the reliance on robust and secure networks
has become paramount. With the advent of 5G and the Internet of Things, networks are …