Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

SW Lee, M Mohammadi, S Rashidi… - Journal of Network and …, 2021 - Elsevier
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …

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 …

Network intrusion detection using ACO-DNN model with DVFS based energy optimization in cloud framework

JK Samriya, R Tiwari, X Cheng, RK Singh… - … Informatics and Systems, 2022 - Elsevier
Recent technologies and innovations have encouraged users to adopt cloud-based
environment. Network intrusion detection (NID) is an important method for network system …

A Deep Learning‐Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks

M Naveed, F Arif, SM Usman, A Anwar… - Wireless …, 2022 - Wiley Online Library
An intrusion detection system, often known as an IDS, is extremely important for preventing
attacks on a network, violating network policies, and gaining unauthorized access to a …

Data transformation schemes for cnn-based network traffic analysis: A survey

J Krupski, W Graniszewski, M Iwanowski - Electronics, 2021 - mdpi.com
The enormous growth of services and data transmitted over the internet, the bloodstream of
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …

[HTML][HTML] Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine

H Lin, Q Xue, J Feng, D Bai - Digital Communications and Networks, 2023 - Elsevier
With the rapid development of the Internet of Things (IoT), there are several challenges
pertaining to security in IoT applications. Compared with the characteristics of the traditional …

Hyperparameter optimization for 1D-CNN-based network intrusion detection using GA and PSO

D Kilichev, W Kim - Mathematics, 2023 - mdpi.com
This study presents a comprehensive exploration of the hyperparameter optimization in one-
dimensional (1D) convolutional neural networks (CNNs) for network intrusion detection. The …

An intrusion detection method based on stacked sparse autoencoder and improved gaussian mixture model

T Zhang, W Chen, Y Liu, L Wu - Computers & Security, 2023 - Elsevier
The analysis of a substantial portion of network data is a requirement for almost any
machine learning-based network intrusion detection method. High dimension features, a …

Intelligent IDS in wireless sensor networks using deep fuzzy convolutional neural network

S Subramani, M Selvi - Neural Computing and Applications, 2023 - Springer
The intrusion detection systems (IDSs) developed based on classification algorithms for
securing wireless sensor networks (WSNs) are unable to attain the required detection …

Intrusion detection model for IoT using recurrent kernel convolutional neural network

CU Om Kumar, S Marappan, B Murugeshan… - Wireless Personal …, 2023 - Springer
In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …