Comments on 'Unconditionally Secure, Universally Composable Privacy Preserving Linear Algebra'
Autor: | Babak Siabi, Mehdi Berenjkoub |
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Rok vydání: | 2020 |
Předmět: |
021110 strategic
defence & security studies Hardware_MEMORYSTRUCTURES Ideal (set theory) Computer Networks and Communications Computer science 0211 other engineering and technologies 02 engineering and technology Computer security computer.software_genre Privacy preserving Forensic science Product (mathematics) Information leakage Linear algebra Safety Risk Reliability and Quality Protocol (object-oriented programming) computer |
Zdroj: | IEEE Transactions on Information Forensics and Security. 15:83-84 |
ISSN: | 1556-6021 1556-6013 |
DOI: | 10.1109/tifs.2019.2912068 |
Popis: | In this paper, we discuss the security of a distributed inner product (DIP) protocol [IEEE Trans. Inf. Forensics Security, 11.1, 59, (2016)]. We show information leakage in this protocol that does not happen in an ideal execution of the DIP functionality. In some scenarios, this information leakage enables one of the parties to completely learn the other party’s input. We will give examples of such scenarios. |
Databáze: | OpenAIRE |
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