Publication2018
A novel approach using "Supervised and unsupervised learning" to prevent the adequacy of intrusion detection systems
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 January 2018
- Level
- National
- Journal
- International Journal of Engineering and Technology Uae
- Volume
- 7
- Issue
- 3.34 Special Issue 34
- Pages
- 474-479
- Published
- 1 January 2018
- DOI
- 10.14419/ijet.v7i3.12.16162
- Scopus ID
- 85082354755
- ISSN
- 2227524X
- Authors
- 4
- Open access
- Yes
- Citations
- 7
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Proposes novel approach using supervised and unsupervised machine learning to prevent intrusion detection system failures against polymorphic cyber attacks.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Proposes novel approach using supervised and unsupervised machine learning to prevent intrusion detection system failures against polymorphic cyber attacks.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A novel approach using "Supervised and unsupervised learning" to prevent the adequacy of intrusion detection systems”. Kortex.