A taxonomy of network threats and the effect of current datasets on intrusion detection systems

H Hindy, D Brosset, E Bayne, AK Seeam… - IEEE …, 2020 - ieeexplore.ieee.org
As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …

A taxonomy and survey of intrusion detection system design techniques, network threats and datasets

H Hindy, D Brosset, E Bayne, A Seeam, C Tachtatzis… - 2018 - strathprints.strath.ac.uk
With the world moving towards being increasingly dependent on computers and automation,
one of the main challenges in the current decade has been to build secure applications …

Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets

S Hajj, R El Sibai, J Bou Abdo… - Transactions on …, 2021 - Wiley Online Library
With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …

[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 …

A comprehensive systematic literature review on intrusion detection systems

M Ozkan-Okay, R Samet, Ö Aslan, D Gupta - IEEE Access, 2021 - ieeexplore.ieee.org
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

A Aldweesh, A Derhab, AZ Emam - Knowledge-Based Systems, 2020 - Elsevier
The massive growth of data that are transmitted through a variety of devices and
communication protocols have raised serious security concerns, which have increased the …

A review of the advancement in intrusion detection datasets

A Thakkar, R Lohiya - Procedia Computer Science, 2020 - Elsevier
The research in the field of Cyber Security has raised the need to address the issue of
cybercrimes that have caused the requisition of the intellectual properties such as break …

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 …

Comparative analysis of intrusion detection systems and machine learning based model analysis through decision tree

Z Azam, MM Islam, MN Huda - IEEE Access, 2023 - ieeexplore.ieee.org
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

[PDF][PDF] Toward generating a new intrusion detection dataset and intrusion traffic characterization.

I Sharafaldin, AH Lashkari, AA Ghorbani - ICISSp, 2018 - scitepress.org
With exponential growth in the size of computer networks and developed applications, the
significant increasing of the potential damage that can be caused by launching attacks is …