Applications of Secure Multiparty Computation
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| Title: | Applications of Secure Multiparty Computation |
|---|---|
| Description: | We generate and gather a lot of data about ourselves and others, some of it highly confidential. The collection, storage and use of this data is strictly regulated by laws, but restricting the use of data often limits the benefits which could be obtained from its analysis. Secure multi-party computation (SMC), a cryptographic technology, makes it possible to execute specific programs on confidential data while ensuring that no other sensitive information from the data is leaked. SMC has been the subject of academic study for more than 30 years, but first attempts to use it for actual computations in the early 2000s – although theoretically efficient – were initially not practicable. However, improvements in the situation have made possible the secure solving of even relatively large computational tasks. This book describes how many different computational tasks can be solved securely, yet efficiently. It describes how protocols can be combined to larger applications, and how the security-efficiency trade-offs of different components of an SMC application should be chosen. Many of the results described in this book were achieved as part of the project Usable and Efficient Secure Multi-party Computation (UaESMC), which was funded by the European Commission. The book will be of interest to all those whose work involves the secure analysis of confidential data. |
| Authors: | Peeter Laud, Liina Kamm |
| Resource Type: | eBook. |
| Subjects: | Data encryption (Computer science) |
| Categories: | COMPUTERS / Information Technology |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applications of Secure Multiparty Computation – Name: Abstract Label: Description Group: Ab Data: We generate and gather a lot of data about ourselves and others, some of it highly confidential. The collection, storage and use of this data is strictly regulated by laws, but restricting the use of data often limits the benefits which could be obtained from its analysis. Secure multi-party computation (SMC), a cryptographic technology, makes it possible to execute specific programs on confidential data while ensuring that no other sensitive information from the data is leaked. SMC has been the subject of academic study for more than 30 years, but first attempts to use it for actual computations in the early 2000s – although theoretically efficient – were initially not practicable. However, improvements in the situation have made possible the secure solving of even relatively large computational tasks. This book describes how many different computational tasks can be solved securely, yet efficiently. It describes how protocols can be combined to larger applications, and how the security-efficiency trade-offs of different components of an SMC application should be chosen. Many of the results described in this book were achieved as part of the project Usable and Efficient Secure Multi-party Computation (UaESMC), which was funded by the European Commission. The book will be of interest to all those whose work involves the secure analysis of confidential data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Peeter+Laud%22">Peeter Laud</searchLink><br /><searchLink fieldCode="AR" term="%22Liina+Kamm%22">Liina Kamm</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+encryption+%28Computer+science%29%22">Data encryption (Computer science)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Information+Technology%22">COMPUTERS / Information Technology</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.82 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Data encryption (Computer science) Type: general Titles: – TitleFull: Applications of Secure Multiparty Computation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Peeter Laud – PersonEntity: Name: NameFull: Liina Kamm – PersonEntity: Name: NameFull: Peeter Laud – PersonEntity: Name: NameFull: Liina Kamm IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2015 – D: 01 M: 08 Type: profile Y: 2018 Identifiers: – Type: isbn-print Value: 9781614995319 – Type: isbn-electronic Value: 9781614995326 Numbering: – Type: volume Value: 00013 Titles: – TitleFull: Applications of Secure Multiparty Computation Type: main |
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