Publication2026
Blockchain-based Cyber Risk Assessment for Biometric Data in Consumer Digital Assistants
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- IEEE Transactions on Consumer Electronics
- Published
- 1 January 2026
- DOI
- 10.1109/tce.2026.3719333
- Scopus ID
- 105046851915
- ISSN
- 00983063
- Authors
- 5
- 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
16.4 Significantly reduce illicit financial and arms flows and combat all forms of organized crime
Proposes blockchain-conditioned attack graph framework for cyber risk assessment in consumer AI devices quantifying attack propagation and exploitability.
- 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
AI-based cybersecurity research directly addresses national security threats and protection of consumer 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Blockchain-based Cyber Risk Assessment for Biometric Data in Consumer Digital Assistants”. Kortex.