Application of Deep Learning Models for Real-Time Automatic Malware Detection
- DOI
- 10.1109/access.2024.3436588
- Published
- 2024
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/access.2024.3436588,
title = {Application of Deep Learning Models for Real-Time Automatic Malware Detection},
author = {Rommel Gutierrez and William Villegas-Ch and Lorena Naranjo Godoy and Aracely Mera-Navarrete and Sergio Luján-Mora},
year = {2024},
journal = {IEEE Access},
doi = {10.1109/access.2024.3436588},
url = {https://doi.org/10.1109/access.2024.3436588}
}RIS
TY - JOUR TI - Application of Deep Learning Models for Real-Time Automatic Malware Detection AU - Rommel Gutierrez AU - William Villegas-Ch AU - Lorena Naranjo Godoy AU - Aracely Mera-Navarrete AU - Sergio Luján-Mora PY - 2024 JO - IEEE Access DO - 10.1109/access.2024.3436588 UR - https://doi.org/10.1109/access.2024.3436588 ER -
APA
Gutierrez, R., Villegas-Ch, W., Godoy, L. N., Mera-Navarrete, A., & Luján-Mora, S. (2024). Application of Deep Learning Models for Real-Time Automatic Malware Detection. IEEE Access. https://doi.org/10.1109/access.2024.3436588
Source records
- crossref · retrieved 2026-09-27T13:59:03.267Z