Publication2015
A hybrid approach for network intrusion detection
The record
- Type
- Publication
- Date
- 28 September 2015
- Level
- National
- Journal
- Proceedings 2015 5th International Conference on Communication Systems and Network Technologies Csnt 2015
- Pages
- 614-617
- Published
- 28 September 2015
- DOI
- 10.1109/csnt.2015.76
- Scopus ID
- 84946962947
- Authors
- 2
- Open access
- No
- Citations
- 31
- 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
Intrusion detection system using fuzzy logic and genetic algorithm represents research in cybersecurity technology and innovation.
- 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-4.4 Public safety, cybersecurity and national security
Network security detection methodology supports cybersecurity infrastructure development.
- 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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KIIT Deemed to be University. “A hybrid approach for network intrusion detection”. Kortex.