The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A GRU deep learning system against attacks in software defined networks
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Learning long-term dependencies with gradient descent is difficult
Bengio, Y., Simard, P., & Frasconi, P. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.279181 · Cited by 8,542
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
Sharafaldin, I., Habibi Lashkari, A., & Ghorbani, A. A. (2018) · Proceedings of the 4th International Conference on Information Systems Security and Privacy · doi:10.5220/0006639801080116 · Cited by 5,318
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy
Sharafaldin, I., Lashkari, A. H., Hakak, S., & Ghorbani, A. A. (2019) · 2019 International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2019.8888419 · Cited by 1,275
Security in SDN: A comprehensive survey
Correa Chica, J. C., Imbachi, J. C., & Botero Vega, J. F. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102595 · Cited by 296
Remote security management server for IoT devices
Yoon, S., & Kim, J. (2017) · 2017 International Conference on Information and Communication Technology Convergence (ICTC) · doi:10.1109/ictc.2017.8190885 · Cited by 27
Cited by
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
Ferrag, M. A., Shu, L., Djallel, H., & Choo, K.-K. R. (2021) · Electronics · doi:10.3390/electronics10111257 · Cited by 253
Metadata
- Authors
- Assis, M. V. O., Carvalho, L. F., Lloret, J., & Proença, M. L.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 177
- Pages
- 102942
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W3114263020
- Cited by
- 175
- References
- 6
- FWCI
- 8.49
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A GRU deep learning system against attacks in software defined networks. https://app.cochat.ai/papers/10.1016/j.jnca.2020.102942
- The paper
- Assis, M. V. O., Carvalho, L. F., Lloret, J., & Proença, M. L. (2021). A GRU deep learning system against attacks in software defined networks. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2020.102942
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.