SD-Honeypot Integration for Mitigating DDoS Attack Using Machine Learning Approaches
- DOI
- 10.30630/joiv.6.1.853
- Published
- 2022-03-26
- Container
- JOIV : International Journal on Informatics Visualization
- Publisher
- Society of Visual Informatics
- 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:10.30630/joiv.6.1.853,
title = {SD-Honeypot Integration for Mitigating DDoS Attack Using Machine Learning Approaches},
author = {Fauzi Dwi Setiawan Sumadi and Alrizal Rakhmat Widagdo and Abyan Faishal Reza and - Syaifuddin},
year = {2022},
journal = {JOIV : International Journal on Informatics Visualization},
doi = {10.30630/joiv.6.1.853},
url = {https://doi.org/10.30630/joiv.6.1.853}
}RIS
TY - JOUR TI - SD-Honeypot Integration for Mitigating DDoS Attack Using Machine Learning Approaches AU - Fauzi Dwi Setiawan Sumadi AU - Alrizal Rakhmat Widagdo AU - Abyan Faishal Reza AU - - Syaifuddin PY - 2022 JO - JOIV : International Journal on Informatics Visualization DO - 10.30630/joiv.6.1.853 UR - https://doi.org/10.30630/joiv.6.1.853 ER -
APA
Sumadi, F. D. S., Widagdo, A. R., Reza, A. F., & Syaifuddin, -. (2022). SD-Honeypot Integration for Mitigating DDoS Attack Using Machine Learning Approaches. JOIV : International Journal on Informatics Visualization. https://doi.org/10.30630/joiv.6.1.853
Source records
- crossref · retrieved 2026-11-10T09:15:31.264Z