Locally Decodable Codes and Private Information Retrieval Schemes Locally Decodable Codes and Private Information Retrieval Schemes

Locally Decodable Codes and Private Information Retrieval Schemes

    • ‏109٫99 US$
    • ‏109٫99 US$

وصف الناشر

Locally decodable codes (LDCs) are codes that simultaneously provide efficient random access retrieval and high noise resilience by allowing reliable reconstruction of an arbitrary bit of a message by looking at only a small number of randomly chosen codeword bits. Local decodability comes with a certain loss in terms of efficiency – specifically, locally decodable codes require longer codeword lengths than their classical counterparts. Private information retrieval (PIR) schemes are cryptographic protocols designed to safeguard the privacy of database users. They allow clients to retrieve records from public databases while completely hiding the identity of the retrieved records from database owners.

In this book the author provides a fresh algebraic look at the theory of locally decodable codes and private information retrieval schemes, obtaining new families of each which have much better parameters than those of previously known constructions, and he also proves limitations of two server PIRs in a restricted setting that covers all currently known schemes. The author's related thesis won the ACM Dissertation Award in 2007, and this book includes some expanded sections and proofs, and notes on recent developments.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢ نوفمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Applied Algebra, Algebraic Algorithms and Error-Correcting Codes Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
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Mathematical Methods in Computer Science Mathematical Methods in Computer Science
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Covering Codes Covering Codes
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Mathematical Foundations of Computer Science 2011 Mathematical Foundations of Computer Science 2011
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Arithmetic of Finite Fields Arithmetic of Finite Fields
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Open Problems in Mathematics and Computational Science Open Problems in Mathematics and Computational Science
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