Publication2024
An Enhanced Effective Methodology to Detect Intrusions Using Machine Learning
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- Intelligent Computing on Iot 2 0 Big Data Analytics and Block Chain Technology
- Pages
- 390-402
- Published
- 1 January 2024
- DOI
- 10.1201/9781003326236-21
- Scopus ID
- 85194751548
- Authors
- 5
- Open access
- No
- Citations
- 1
- 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 methodology for network intrusion detection preventing cyberattacks and protecting digital infrastructure from 300,000+ daily emerging malware threats
- 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
Cybersecurity research using machine learning advancing computational defense mechanisms for network protection
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Intrusion detection system research supporting cybersecurity and national security infrastructure protection
- 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. “An Enhanced Effective Methodology to Detect Intrusions Using Machine Learning”. Kortex.