Publication2026
Hybrid feature selection and BWTDO enabled DeepCNN-TL for intrusion detection in fuzzy cloud computing
The record
- Type
- Publication
- Date
- 1 July 2026
- Level
- National
- Journal
- Soft Computing
- Volume
- 30
- Issue
- 7
- Pages
- 5173-5192
- Published
- 1 July 2026
- DOI
- 10.1007/s00500-023-08573-3
- Scopus ID
- 85160836030
- ISSN
- 14327643
- Authors
- 2
- Open access
- No
- Citations
- 7
- International co-authorship
- No
- Co-author countries
- IN
Classification
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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
Presents intrusion detection system for cloud computing security using deep learning, protecting information systems and infrastructure.
- 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
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Hybrid machine learning approach for cybersecurity threat detection directly addresses national security and cybersecurity 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Hybrid feature selection and BWTDO enabled DeepCNN-TL for intrusion detection in fuzzy cloud computing”. Kortex.