Network anomaly intrusion detection using a nonparametric Bayesian approach and feature selection

W Alhakami, A ALharbi, S Bourouis, R Alroobaea… - IEEE …, 2019 - ieeexplore.ieee.org
Anomaly-based intrusion detection systems (IDSs) have been deployed to monitor network
activity and to protect systems and the Internet of Things (IoT) devices from attacks (or …

Big data analytics for intrusion detection system: Statistical decision-making using finite dirichlet mixture models

N Moustafa, G Creech, J Slay - Data Analytics and Decision Support for …, 2017 - Springer
An intrusion detection system has become a vital mechanism to detect a wide variety of
malicious activities in the cyber domain. However, this system still faces an important …

Practical intrusion detection of emerging threats

R Mills, AK Marnerides, M Broadbent… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT), in combination with advancements in Big Data, communications
and networked systems, offers a positive impact across a range of sectors including health …

Toward a more practical unsupervised anomaly detection system

J Song, H Takakura, Y Okabe, K Nakao - Information Sciences, 2013 - Elsevier
During the last decade, various machine learning and data mining techniques have been
applied to Intrusion Detection Systems (IDSs) which have played an important role in …

[HTML][HTML] A systematic literature review of methods and datasets for anomaly-based network intrusion detection

Z Yang, X Liu, T Li, D Wu, J Wang, Y Zhao, H Han - Computers & Security, 2022 - Elsevier
As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …

Toward a reliable anomaly-based intrusion detection in real-world environments

EK Viegas, AO Santin, LS Oliveira - Computer Networks, 2017 - Elsevier
A popular approach for detecting network intrusion attempts is to monitor the network traffic
for anomalies. Extensive research effort has been invested in anomaly-based network …

Unsupervised anomaly intrusion detection via localized bayesian feature selection

W Fan, N Bouguila, D Ziou - 2011 IEEE 11th International …, 2011 - ieeexplore.ieee.org
In recent years, an increasing number of security threats have brought a serious risk to the
internet and computer networks. Intrusion Detection System (IDS) plays a vital role in …

Anomaly-based network intrusion detection: Techniques, systems and challenges

P Garcia-Teodoro, J Diaz-Verdejo… - computers & …, 2009 - Elsevier
The Internet and computer networks are exposed to an increasing number of security
threats. With new types of attacks appearing continually, developing flexible and adaptive …

[PDF][PDF] Anomaly-based intrusion detection through k-means clustering and naives bayes classification

W Yassin, NI Udzir, Z Muda, MN Sulaiman - 2013 - soc.uum.edu.my
Intrusion detection systems (IDSs) effectively balance extra security appliance by identifying
intrusive activities on a computer system, and their enhancement is emerging at an …

A novel anomaly network intrusion detection system for internet of things security

A Guezzaz, S Benkirane, M Azrour - IoT and smart devices for sustainable …, 2022 - Springer
The automatic detection of intrusions becomes an interesting issue due to the needs of
computer system security. A lot of malicious attacks can infect wired and wireless networks …