Collusive eavesdropping in interference alignment (IA)-based wireless networks
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7547
- Type
- D - Journal article
- DOI
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10.1109/TWC.2017.2712644
- Title of journal
- IEEE Transactions on Wireless Communications
- Article number
- -
- First page
- 5549
- Volume
- 16
- Issue
- 8
- ISSN
- 1536-1276
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- 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
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Due to the broadcast nature of wireless communications, security is always a huge concern. This is even worse in networks where user terminals have to cooperate, such as interference alignment networks, as some users may not be trusted. This is the first paper to study the internal security problem within interference-aligned collaborative networks, and the results revealed serious security loopholes. The content of this article was presented at the IEEE VTC Spring 2017, the premier conference of the IEEE Vehicular Technology Society, and won the Best Paper Award, the only award out of more than 500 accepted papers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -