Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems
- DOI
- 10.1109/access.2019.2893871
- Published
- 2019
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2019.2893871,
title = {Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems},
author = {Dimitrios Papamartzivanos and Felix Gomez Marmol and Georgios Kambourakis},
year = {2019},
journal = {IEEE Access},
doi = {10.1109/access.2019.2893871},
url = {https://doi.org/10.1109/access.2019.2893871}
}RIS
TY - JOUR TI - Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems AU - Dimitrios Papamartzivanos AU - Felix Gomez Marmol AU - Georgios Kambourakis PY - 2019 JO - IEEE Access DO - 10.1109/access.2019.2893871 UR - https://doi.org/10.1109/access.2019.2893871 ER -
APA
Papamartzivanos, D., Marmol, F. G., & Kambourakis, G. (2019). Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems. IEEE Access. https://doi.org/10.1109/access.2019.2893871
Source records
- crossref · retrieved 2026-11-10T07:32:21.783Z