Feature selection and ensemble-based intrusion detection system: an efficient and comprehensive approach

E Jaw, X Wang - Symmetry, 2021 - mdpi.com
The emergence of ground-breaking technologies such as artificial intelligence, cloud
computing, big data powered by the Internet, and its highly valued real-world applications …

[HTML][HTML] Intrusion detection system in cloud environment: Literature survey & future research directions

S Lata, D Singh - International Journal of Information Management Data …, 2022 - Elsevier
The cloud provides infrastructure, applications, and storage services to users that need to be
protected by some policies or procedures. Hence, security in the cloud is to protect user data …

A modified feature selection method based on metaheuristic algorithms for speech emotion recognition

S Yildirim, Y Kaya, F Kılıç - Applied Acoustics, 2021 - Elsevier
Feature selection plays an important role to build a successful speech emotion recognition
system. In this paper, a feature selection approach which modifies the initial population …

Model of the intrusion detection system based on the integration of spatial-temporal features

J Zhang, Y Ling, X Fu, X Yang, G Xiong, R Zhang - Computers & Security, 2020 - Elsevier
The intrusion detection system can distinguish normal traffic from attack traffic by analyzing
the characteristics of network traffic. Recently, neural networks have advanced in the fields …

A context-aware robust intrusion detection system: a reinforcement learning-based approach

K Sethi, E Sai Rupesh, R Kumar, P Bera… - International Journal of …, 2020 - Springer
Detection and prevention of intrusions in enterprise networks and systems is an important,
but challenging problem due to extensive growth and usage of networks that are constantly …

An analysis of the KDD99 and UNSW-NB15 datasets for the intrusion detection system

MS Al-Daweri, KA Zainol Ariffin, S Abdullah… - Symmetry, 2020 - mdpi.com
The significant increase in technology development over the internet makes network security
a crucial issue. An intrusion detection system (IDS) shall be introduced to protect the …

Advanced feature-selection-based hybrid ensemble learning algorithms for network intrusion detection systems

DN Mhawi, A Aldallal, S Hassan - Symmetry, 2022 - mdpi.com
As cyber-attacks become remarkably sophisticated, effective Intrusion Detection Systems
(IDSs) are needed to monitor computer resources and to provide alerts regarding unusual or …

An intrusion detection method using few-shot learning

Y Yu, N Bian - IEEE Access, 2020 - ieeexplore.ieee.org
Network intrusion detection is an essential means to ensure the security of the network
information system. In the real network, abnormal behaviors occur much less frequently than …

Enhancing machine learning prediction in cybersecurity using dynamic feature selector

M Ahsan, R Gomes, MM Chowdhury… - Journal of Cybersecurity …, 2021 - mdpi.com
Machine learning algorithms are becoming very efficient in intrusion detection systems with
their real time response and adaptive learning process. A robust machine learning model …

Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …