Publication2023
SIELNet: 3-D Chaotic-Map-Based Secure Image Encryption Using Customized Residual Dense Spatial Network
The record
- Type
- Publication
- Date
- 1 November 2023
- Level
- National
- Journal
- IEEE Transactions on Consumer Electronics
- Volume
- 69
- Issue
- 4
- Pages
- 862-868
- Published
- 1 November 2023
- DOI
- 10.1109/tce.2022.3227401
- Scopus ID
- 85144799265
- ISSN
- 00983063
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Develops secure image encryption algorithm using deep learning neural networks, contributing to research innovation in cybersecurity methodologies.
- 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
Research on chaotic encryption and secure image transmission directly addresses cybersecurity and data protection.
- 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.
- 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. “SIELNet: 3-D Chaotic-Map-Based Secure Image Encryption Using Customized Residual Dense Spatial Network”. Kortex.