The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Intrusion Detection Using Convolutional Neural Networks for Representation Learning
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2016) · arXiv · doi:10.48550/arxiv.1603.04467 · Cited by 9,408
Malware traffic classification using convolutional neural network for representation learning
Wang, W., Zhu, M., Zeng, X., Ye, X., & Sheng, Y. (2017) · 2017 International Conference on Information Networking (ICOIN) · doi:10.1109/icoin.2017.7899588 · Cited by 1,177
Cited by
R.M., S. P., Maddikunta, P. K. R., M., P., Koppu, S., Gadekallu, T. R., Chowdhary, C. L., & Alazab, M. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.05.048 · Cited by 470
CNN-Based Network Intrusion Detection against Denial-of-Service Attacks
Kim, J., Kim, J., Kim, H., Shim, M., & Choi, E. (2020) · Electronics · doi:10.3390/electronics9060916 · Cited by 420
Cyber threat detection based on artificial neural networks using event profiles
Lee, J., Kim, J., Kim, I., & Han, K. (2019) · IEEE Access · doi:10.1109/access.2019.2953095 · Cited by 188
An Empirical Study on Network Anomaly Detection Using Convolutional Neural Networks
Kwon, D., Natarajan, K., Suh, S. C., Kim, H., & Kim, J. (2018) · 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2018.00178 · Cited by 157
Metadata
- Authors
- Li, Z., Qin, Z., Huang, K., Yang, X., & Ye, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 858-866
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2766315530
- Cited by
- 232
- References
- 4
- FWCI
- 19.29
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Intrusion Detection Using Convolutional Neural Networks for Representation Learning. https://app.cochat.ai/papers/10.1007/978-3-319-70139-4_87
- The paper
- Li, Z., Qin, Z., Huang, K., Yang, X., & Ye, S. (2017). Intrusion Detection Using Convolutional Neural Networks for Representation Learning. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-70139-4_87
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
