Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm
- DOI
- 10.3389/fdata.2026.1821270
- Published
- 2026-04-28
- Container
- Frontiers in Big Data
- Publisher
- Frontiers Media SA
- 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:10.3389/fdata.2026.1821270,
title = {Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm},
author = {Sujan Kumar Mohanty and Satyajit Rath and Satya Ranjan Sahu and Bikram Kumar Parida and Rakesh Chandra Balabantaray},
year = {2026},
journal = {Frontiers in Big Data},
doi = {10.3389/fdata.2026.1821270},
url = {https://doi.org/10.3389/fdata.2026.1821270}
}RIS
TY - JOUR TI - Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm AU - Sujan Kumar Mohanty AU - Satyajit Rath AU - Satya Ranjan Sahu AU - Bikram Kumar Parida AU - Rakesh Chandra Balabantaray PY - 2026 JO - Frontiers in Big Data DO - 10.3389/fdata.2026.1821270 UR - https://doi.org/10.3389/fdata.2026.1821270 ER -
APA
Mohanty, S. K., Rath, S., Sahu, S. R., Parida, B. K., & Balabantaray, R. C. (2026). Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm. Frontiers in Big Data. https://doi.org/10.3389/fdata.2026.1821270
Source records
- crossref · retrieved 2026-09-24T19:48:43.460Z