Intrusion detection using reduced-size RNN based on feature grouping
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Deep Boltzmann Machine (DBM) has hidden layers with undirected connections throughout the network.
“A generative model called Deep Boltzmann Machine (DBM) (Salakhutdinov & Hinton,2009) [211] (Salakhutdinov & Larochelle, 2010) [212] has hidden layers with undirected connections throughout the network.”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [211]
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A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
Yin, C., Zhu, Y., Fei, J., & He, X. (2017) · IEEE Access · doi:10.1109/access.2017.2762418 · Cited by 2,100 · see citing works
Azam, Z., Islam, M. M., & Huda, M. N. (2023) · IEEE Access · doi:10.1109/access.2023.3296444 · Cited by 265 · see citing works
- Authors
- Sheikhan, M., Jadidi, Z., & Farrokhi, A.
- Affiliations
- Islamic Azad University South Tehran Branch (IR)
- Corresponding author
- Sheikhan, Mansour
- Venue
- Neural Computing and Applications
- Published
- 2010-11-25
- Volume
- 21
- Issue
- 6
- Pages
- 1185-1190
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2066877142
- Cited by
- 140
- References
- 32
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 11 · 2023: 13 · 2022: 15 · 2021: 16 · 2020: 18 · 2019: 15 · 2018: 10 · 2017: 4 · 2016: 4 · 2015: 4 · 2014: 6 · 2013: 6 · 2012: 3
- FWCI
- 5.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neural Computing and Applications (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Hardware and Architecture › Network Packet Processing and Optimization
- Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
- Keywords
- intrusion detection, recurrent neural networks, feature grouping, KDD Cup 1999 dataset, network traffic classification, denial-of-service attacks, remote-to-local attacks, user-to-root attacks, probe attacks, false alarm rate, detection rate
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