Publication2012
An Improved Privacy Measure for Protecting Data Anonymity Against Online Frauds
The record
- Type
- Publication
- Date
- 1 January 2012
- Level
- National
- Journal
- Indiacom 2012 6th National Conference on Computing for Nation Development
- Published
- 1 January 2012
- Scopus ID
- 105011945358
- Authors
- 2
- Open access
- No
- Citations
- 0
- 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
16.6 Develop effective, accountable and transparent institutions at all levels
Privacy protection model implements k-anonymity using generalization and suppression to prevent individual identification in published datasets against online fraud.
- 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
Data privacy research develops methodology for anonymization and information security in large-scale datasets.
- 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-4.1 Transparency, accountability and the rule of law
Data protection research supports institutional accountability and citizen privacy rights in digital systems.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “An Improved Privacy Measure for Protecting Data Anonymity Against Online Frauds”. Kortex.