A comprehensive survey for machine learning and deep learning applications for detecting intrusion detection

OM Surakhi, AM García, M Jamoos… - … Arab Conference on …, 2021 - ieeexplore.ieee.org
The rapid development in computer network and internet have resulted in increased
corresponding data and network attacks. Many novels and improvement technologies have …

Machine learning and deep learning approaches for intrusion detection: a comparative study

G Prethija, J Katiravan - Inventive Communication and Computational …, 2022 - Springer
Intrusion detection is a major challenge for security experts in the cyber world. Traditional
IDS failed to detect complex and unknown cyber-attacks. Machine learning has become a …

Machine learning techniques for network-based intrusion detection system: a survey paper

LAH Ahmed, YAM Hamad - 2021 National Computing Colleges …, 2021 - ieeexplore.ieee.org
The rapid growth of Internet technologies and further dependence on online services,
increase the demand for keeping these networks and data secure. The protection of online …

A comparative analysis of deep learning approaches in intrusion detection system

A Das, SG Balakrishnan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
With computers' growth, network-based technology, including advanced communication
features, Internet of Things (IoT), automation, and upcoming fifth generation (5G) mobile …

The intrusion detection system by deep learning methods: issues and challenges

O Surakhi, A García, M Jamoos, M Alkhanafseh - 2022 - fada.birzeit.edu
Intrusion Detection Systems (IDS) are one of the major research application problems in the
computer security domain. With the increasing number of advanced network attacks, the …

Deep learning methods applied to intrusion detection: survey, taxonomy and challenges

O Lifandali, N Abghour - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Because of the popularity of the Internet of Things (IoT), the rapid expansion of computer
networks, and the vast number of important applications, cyber security has lately garnered …

Intrusion Detection System-Deep Learning Perspective

S Desai, B Dave, T Vyas, AR Nair - … International Conference on …, 2021 - ieeexplore.ieee.org
Nowadays the large amount of sensitive data set is a traverse through different devices and
communication channels and continuously new invention in computer network technology …

A systematic survey on recent deep learning trends in intrusion detection system

M Soni, M Singhal, R Katarya - 2021 3rd International …, 2021 - ieeexplore.ieee.org
With the recent growth in the use of communication networks along with data processing
systems, there has also been an increasing trend of growing complexity in the volume and …

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 …

Emerging trends of recently published datasets for intrusion detection systems (IDS): A survey

R Jindal, A Anwar - arXiv preprint arXiv:2110.00773, 2021 - arxiv.org
With the ubiquitous nature of information technology solutions that facilitate communication
in the modern world, cyber attacks are increasing in volume and becoming more …