<i>Retracted on September 10, 2025:</i> PAREEKSHA: a machine learning approach for intrusion and anomaly detection
- DOI
- 10.1145/3279996.3280032
- Published
- 2018-10
- Container
- Proceedings of the First International Conference on Data Science, E-learning and Information Systems
- Publisher
- ACM
- Open access
- unknown
Credibility signals
serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- 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.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- 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:10.1145/3279996.3280032,
title = {<i>Retracted on September 10, 2025:</i>
PAREEKSHA: a machine learning approach for intrusion and anomaly detection},
author = {Arun Nagaraja and Shadi Aljawarneh and Prabhakara H. S},
year = {2018},
journal = {Proceedings of the First International Conference on Data Science, E-learning and Information Systems},
doi = {10.1145/3279996.3280032},
url = {https://doi.org/10.1145/3279996.3280032}
}RIS
TY - JOUR
TI - <i>Retracted on September 10, 2025:</i>
PAREEKSHA: a machine learning approach for intrusion and anomaly detection
AU - Arun Nagaraja
AU - Shadi Aljawarneh
AU - Prabhakara H. S
PY - 2018
JO - Proceedings of the First International Conference on Data Science, E-learning and Information Systems
DO - 10.1145/3279996.3280032
UR - https://doi.org/10.1145/3279996.3280032
ER - APA
Nagaraja, A., Aljawarneh, S., & S, P. H. (2018). <i>Retracted on September 10, 2025:</i> PAREEKSHA: a machine learning approach for intrusion and anomaly detection. Proceedings of the First International Conference on Data Science, E-learning and Information Systems. https://doi.org/10.1145/3279996.3280032
Source records
- crossref · retrieved 2026-09-25T16:41:46.087Z