Publication2021
Correlation based malicious traffic analysis system
- Industry, Innovation and Infrastructure
- Peace, Justice and Strong Institutions
- Good Governance and Security
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- International Journal of Knowledge Based and Intelligent Engineering Systems
- Volume
- 25
- Issue
- 2
- Pages
- 195-200
- Published
- 1 January 2021
- DOI
- 10.3233/kes-210064
- Scopus ID
- 85111712759
- ISSN
- 13272314
- Authors
- 3
- Open access
- No
- Citations
- 9
- 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
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Machine learning-based network traffic analysis system detects sophisticated malware and cyber threats, protecting digital infrastructure and information systems against attacks.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Development of correlation-based anomaly detection algorithms using non-parametric approaches advances cybersecurity research innovation and threat classification.
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4 Good Governance and Security
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 16 label. Machine learning-based network traffic analysis system detects sophisticated malware and cyber threats, protecting digital infrastructure and information systems against 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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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Correlation based malicious traffic analysis system”. Kortex.