[HTML][HTML] A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions

A Thakkar, R Lohiya - Artificial Intelligence Review, 2022 - Springer
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

[PDF][PDF] A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems

R Panigrahi, S Borah - International Journal of Engineering & …, 2018 - researchgate.net
Abstract Many Intrusion Detection Systems (IDS) has been proposed in the current decade.
To evaluate the effectiveness of the IDS Canadian Institute of Cybersecurity presented a …

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 …

[HTML][HTML] Machine learning and deep learning methods for intrusion detection systems: A survey

H Liu, B Lang - applied sciences, 2019 - mdpi.com
Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …

Performance analysis of machine learning algorithms in intrusion detection system: A review

T Saranya, S Sridevi, C Deisy, TD Chung… - Procedia Computer …, 2020 - Elsevier
The rapid growth of technologies not only formulates life easier but also exposes a lot of
security issues. With the advancement of the Internet over years, the number of attacks over …

[HTML][HTML] Overview on intrusion detection systems design exploiting machine learning for networking cybersecurity

P Dini, A Elhanashi, A Begni, S Saponara, Q Zheng… - Applied Sciences, 2023 - mdpi.com
The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …

A systematic literature review of intrusion detection system for network security: Research trends, datasets and methods

R Ferdiana - … 4th International Conference on Informatics and …, 2020 - ieeexplore.ieee.org
Study on intrusion detection system (IDS) mostly allow network administrators to focus on
development activities in terms of network security and making better use of resource. Many …

Design an intrusion detection system based on feature selection using ML algorithms

S Venkatesan - Mathematical Statistician and Engineering Applications, 2023 - philstat.org
With the development of the Internet and Technology, cyber-attacks are growing rapidly thus
cyber security is an important aspect which needs to be given attention. There are several …

Machine learning-based intrusion detection system: an experimental comparison

I Hidayat, MZ Ali, A Arshad - Journal of Computational and …, 2023 - ojs.bonviewpress.com
Recently, networks are moving toward automation and getting more and more intelligent.
With the advent of big data and cloud computing technologies, lots and lots of data are being …

Identifying and benchmarking key features for cyber intrusion detection: an ensemble approach

A Binbusayyis, T Vaiyapuri - IEEE Access, 2019 - ieeexplore.ieee.org
In today's interconnected era, intrusion detection system (IDS) has the potential to be the
frontier of defense against cyberattacks and plays an essential role in achieving security of …