DEX: self-healing expanders
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1945
- Type
- D - Journal article
- DOI
-
10.1007/s00446-015-0258-3
- Title of journal
- Distributed Computing
- Article number
- -
- First page
- 163
- Volume
- 29
- Issue
- 3
- ISSN
- 0178-2770
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- URL
-
-
- 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
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research has impacted the state of the art by creating a deterministic self-healing expander topology construction network, addressing the problem of randomised existing solutions which deteriorate over a series of attacks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -