A systematic review on hybrid intrusion detection system

EM Maseno, Z Wang, H Xing - Security and Communication …, 2022 - Wiley Online Library
As computer networks keep growing at a high rate, achieving confidentiality, integrity, and
availability of the information system is essential. Intrusion detection systems (IDSs) have …

A study of network intrusion detection systems using artificial intelligence/machine learning

P Vanin, T Newe, LL Dhirani, E O'Connell, D O'Shea… - Applied Sciences, 2022 - mdpi.com
The rapid growth of the Internet and communications has resulted in a huge increase in
transmitted data. These data are coveted by attackers and they continuously create novel …

Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

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 …

Real-time hybrid intrusion detection system using machine learning techniques

I Dutt, S Borah, IK Maitra, K Bhowmik, A Maity… - … , Devices and Networking …, 2018 - Springer
Intrusion and intrusive activities have become a bottleneck for both Internet and Intranet
users. An intrusion detection system tries to take care of such activities by constantly …

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 …

Shallow and deep networks intrusion detection system: A taxonomy and survey

E Hodo, X Bellekens, A Hamilton, C Tachtatzis… - arXiv preprint arXiv …, 2017 - arxiv.org
Intrusion detection has attracted a considerable interest from researchers and industries.
The community, after many years of research, still faces the problem of building reliable and …

Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Z Ahmad, A Shahid Khan, C Wai Shiang… - Transactions on …, 2021 - Wiley Online Library
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

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 …

Multistage intrusion detection system using machine learning algorithm

N Maheswaran, S Bose, G Logeswari… - Mobile Computing and …, 2022 - Springer
Owing to the overwhelming dependency of individuals and corporations on the Web along
with the concerns regarding the privacy and protection of their online activities, cybersecurity …