Network intrusion detection: Taxonomy and machine learning applications

A Nazir, RA Khan - Machine intelligence and big data analytics for …, 2021 - Springer
Abstract Information and Communication Technologies (ICT) has revolutionized our lives
and transform it into a knowledge centric world. Where information is available just under …

[PDF][PDF] Deep learning approaches for intrusion detection

AA Salih, SY Ameen, SR Zeebaree… - Asian Journal of …, 2021 - academia.edu
Recently, computer networks faced a big challenge, which is that various malicious attacks
are growing daily. Intrusion detection is one of the leading research problems in network …

A survey on network intrusion detection based on deep learning

X Jianping, L Chun, Z Jing, WEI Jinxia… - Frontiers of Data and …, 2021 - jfdc.cnic.cn
[Objective] The rapid development of the Internet has brought great convenience to people's
life. However, various malicious network attacks are also increasing, and cyberspace is …

[PDF][PDF] A Review on Deep-Learning Based Network Intrusion Detection Systems

SS Jajoo, KA Kumar - International Journal of Electronics and …, 2021 - ijeie.jalaxy.com.tw
Network Security is an extremely arising field that secures frameworks, organizations, and
information from advanced attacks. With the evolution of the Internet and the development of …

Machine learning and deep learning approaches for cybersecurity: A review

A Halbouni, TS Gunawan, MH Habaebi… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid evolution and growth of the internet through the last decades led to more concern
about cyber-attacks that are continuously increasing and changing. As a result, an effective …

[PDF][PDF] A review of intrusion detection datasets and techniques

S Patidar, P Parihar, C Agrawal - Smart Moves J Ijosci, 2020 - academia.edu
As network applications grow rapidly, network security mechanisms require more attention
to improve speed and accuracy. The evolving nature of new types of intrusion poses a …

Machine learning approach for network intrusion detection systems

S Sharma, N Chamoli - An Interdisciplinary Approach to Modern …, 2022 - taylorfrancis.com
We are living in the tumultuous 21st Century, in the era known as the era of digitalization.
Digitalization is a process which is happening at an unprecedented fast pace, and will …

[PDF][PDF] Machine learning based research for network intrusion detection: A state-of-the-art

KK Patel, BV Buddhadev - … of Information and Network Security (IJINS …, 2014 - academia.edu
This paper reviews the machine learning based research carried out for network intrusion
detection to lead a secure computer and network systems to the extent possible. Starting …

[图书][B] Network intrusion detection using deep learning: a feature learning approach

K Kim, ME Aminanto, HC Tanuwidjaja - 2018 - books.google.com
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-
art deep learning methods. It also provides a systematic overview of classical machine …

Survey on intrusion detection systems based on deep learning

AAA Lateef, S Al-Janabi… - Periodicals of Engineering …, 2019 - papers.ssrn.com
Abstract Intrusion Detection Systems (IDSs) have a significant role in all networks and
information systems in the world to earn the required security guarantee. IDS is one of the …