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)
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  – Type: ebook-pdf
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 1640453
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: Applications of Secure Multiparty Computation
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  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.
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  Data: <searchLink fieldCode="AR" term="%22Peeter+Laud%22">Peeter Laud</searchLink><br /><searchLink fieldCode="AR" term="%22Liina+Kamm%22">Liina Kamm</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Data+encryption+%28Computer+science%29%22">Data encryption (Computer science)</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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