Publication2019
Implementation of BFS-NB Hybrid Model in Intrusion Detection System
The record
- Type
- Publication
- Date
- 1 January 2019
- Level
- National
- Journal
- Advances in Intelligent Systems and Computing
- Volume
- 740
- Pages
- 167-175
- Published
- 1 January 2019
- DOI
- 10.1007/978-981-13-1280-9_17
- Scopus ID
- 85053409816
- ISSN
- 21945357
- Authors
- 4
- Open access
- No
- Citations
- 40
- 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
Intrusion detection system using data mining and hybrid classification addresses cybersecurity and protection against malicious network 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Development of novel BFS-NB hybrid model contributes to research capacity in machine learning for security applications.
- 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-4.4 Public safety, cybersecurity and national security
Cybersecurity research protects against network attacks and contributes to national security infrastructure.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Implementation of BFS-NB Hybrid Model in Intrusion Detection System”. Kortex.