On the Linearization of Human Identification Protocols: Attacks Based on Linear Algebra, Coding Theory, and Lattices
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13968
- Type
- D - Journal article
- DOI
-
10.1109/TIFS.2015.2421875
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- -
- First page
- 1643
- Volume
- 10
- Issue
- 8
- ISSN
- 1556-6013
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2015
- URL
-
https://kar.kent.ac.uk/69555/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is significant because it contains the most comprehensive theoretical treatment of secure and usable observer-resistant password systems (ORPSs), an open research problem the community has worked on for over 20 years. The results bring new insights and a new open question about ORPSs based on a broad class of mathematical problems called “learning with structured noises”. These theoretical results revealed some important limitations of current designs of ORPSs, and opens up potential directions for designing next-generation ORPSs.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
