A novel approach to intrusion detection using zero-shot learning hybrid partial labels

Syed Atir Raza, Mehwish Shaikh, Raybal Akhtar, Aqsa Anwar

Open source

DOI: 10.22581/muet1982.2401.2945
Published: 1
Container: Mehran University Research Journal of Engineering and Technology
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.22581/muet1982.2401.2945,
  title = {A novel approach to intrusion detection using zero-shot learning hybrid partial labels},
  author = {Syed Atir Raza and Mehwish Shaikh and Raybal Akhtar and Aqsa Anwar},
  year = {2024},
  journal = {Mehran University Research Journal of Engineering and Technology},
  doi = {10.22581/muet1982.2401.2945},
  url = {https://doi.org/10.22581/muet1982.2401.2945}
}

RIS

TY  - JOUR
TI  - A novel approach to intrusion detection using zero-shot learning hybrid partial labels
AU  - Syed Atir Raza
AU  - Mehwish Shaikh
AU  - Raybal Akhtar
AU  - Aqsa Anwar
PY  - 2024
JO  - Mehran University Research Journal of Engineering and Technology
DO  - 10.22581/muet1982.2401.2945
UR  - https://doi.org/10.22581/muet1982.2401.2945
ER  -

APA

Raza, S. A., Shaikh, M., Akhtar, R., & Anwar, A. (2024). A novel approach to intrusion detection using zero-shot learning hybrid partial labels. Mehran University Research Journal of Engineering and Technology. https://doi.org/10.22581/muet1982.2401.2945

Source records

doaj · retrieved 2026-09-26T18:03:08.258Z