System-Wide Anomaly Detection of Industrial Control Systems via Deep Learning and Correlation Analysis
- DOI
- 10.1007/978-3-030-79150-6_29
- Published
- 2021
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-79150-6_29,
title = {System-Wide Anomaly Detection of Industrial Control Systems via Deep Learning and Correlation Analysis},
author = {Gordon Haylett and Zahra Jadidi and Kien Nguyen Thanh},
year = {2021},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-79150-6_29},
url = {https://doi.org/10.1007/978-3-030-79150-6_29}
}RIS
TY - JOUR TI - System-Wide Anomaly Detection of Industrial Control Systems via Deep Learning and Correlation Analysis AU - Gordon Haylett AU - Zahra Jadidi AU - Kien Nguyen Thanh PY - 2021 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-79150-6_29 UR - https://doi.org/10.1007/978-3-030-79150-6_29 ER -
APA
Haylett, G., Jadidi, Z., & Thanh, K. N. (2021). System-Wide Anomaly Detection of Industrial Control Systems via Deep Learning and Correlation Analysis. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-79150-6_29
Source records
- crossref · retrieved 2026-11-10T11:00:32.538Z