Building an efficient intrusion detection system based on feature selection and ensemble classifier

Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …

A hybrid intrusion detection system based on scalable K-means+ random forest and deep learning

C Liu, Z Gu, J Wang - Ieee Access, 2021 - ieeexplore.ieee.org
Digital assets have come under various network security threats in the digital age. As a kind
of security equipment to protect digital assets, intrusion detection system (IDS) is less …

Automatic features extraction using autoencoder in intrusion detection system

YN Kunang, S Nurmaini, D Stiawan… - … and Computer Science …, 2018 - ieeexplore.ieee.org
Intrusion Detection System (IDS) can detect attacks by analysing the patterns of data traffic in
the network. With a large amount of data that is processed in the IDS, then need to do a …

Feature selection and comparison of classification algorithms for wireless sensor networks

S Pande, A Khamparia, D Gupta - Journal of Ambient Intelligence and …, 2023 - Springer
Wireless sensor networks (WSNs) are developing at an incredible pace because of their
cost-effective solutions for applications like military and medical. WSN consists of a large …

Developing a multi-level intrusion detection system using hybrid-DBN

AA Süzen - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In this study, a hybrid deep belief network (DBN) cyber intrusion detection system was
proposed to provide a secure network by controlling network traffic in Industrial control …

[PDF][PDF] Feature Selection based on Multicriteria Decision Making for Intrusion Detection System

V Upendran, R Gopinath - International Journal of Electrical …, 2020 - researchgate.net
Intrusion detection systems (IDS) have to procedure heaps of packets with numerous
features, which interrupt the finding of anomalies. Feature Selection and Sampling may be …

A fast intrusion detection system based on swift wrapper feature selection and speedy ensemble classifier

E Zorarpaci - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Due to the widespread use of the internet, computer network systems may be exposed to
different types of attacks. For this reason, the intrusion detection systems (IDSs) are often …

Network anomaly detection with deep learning

U Çekmez, Z Erdem, AG Yavuz… - 2018 26th Signal …, 2018 - ieeexplore.ieee.org
Along with the developing new technologies, security breaches have become one of the
major concerns in the cyber world. In order to provide safety, anti-viruses, firewalls, intrusion …

Internet of Things (IoTs) security: Intrusion detection using deep learning

OK Sahingoz, U Cekmez… - Journal of Web …, 2021 - ieeexplore.ieee.org
With the development of sensor and communication technologies, the use of connected
devices in industrial applications has been common for a long time. Reduction of costs …

[PDF][PDF] Intrusion Detection System using Machine Learning

J Zala, A Panchal, A Thakkar, B Prajapati… - International Journal of …, 2020 - academia.edu
ABSTRACT Intrusion Detection System (IDS) is a tool, or software application, that monitors
network or system activity and detects malicious activity occurring. The protected evolution of …