رکورد قبلیرکورد بعدی

" Fully homomorphic encryption in real world applications / "


Document Type : BL
Record Number : 891068
Main Entry : Chatterjee, Ayantika
Title & Author : Fully homomorphic encryption in real world applications /\ Ayantika Chatterjee, Khin Mi Mi Aung.
Publication Statement : Singapore :: Springer,, 2019.
Series Statement : Computer architecture and design methodologies
Page. NO : 1 online resource
ISBN : 9789811363931
: : 9789811363948
: : 9789811363955
: : 9811363935
: : 9811363943
: : 9811363951
: 9789811363924
: 9811363927
Bibliographies/Indexes : Includes bibliographical references.
Contents : Intro; Contents; 1 Introduction; 1.1 Homomorphic Encryption in Real Applications: Few Case Studies; 1.2 Summary of This Book; References; 2 Literature Survey; 2.1 FHE in Cloud Computing; 2.2 Mathematical Background; 2.2.1 Somewhat Homomorphic Encryption; 2.3 Few Related Works; 2.4 FHE in Practical Algorithms; 2.5 Conclusion; References; 3 Sorting on Encrypted Data; 3.1 FHE Comparison Based Sort; 3.1.1 Homomorphic Form of Sorting; 3.2 Sorting and Security; 3.2.1 The CPA Indistinguishability Experiment; 3.2.2 Why Comparison Based Sorting is Secured?
: 3.3 Partition Based Sorting with Index Encryption3.3.1 Encrypted Array with Encrypted Index; 3.3.2 Problems of Recursion on Encrypted Data; 3.3.3 Quick Sort Using Encrypted Stack; 3.3.4 Encrypted Quick Sort Implementation; 3.4 Timing Requirement for Sorting Schemes on Encrypted Data; 3.4.1 Performance Analysis of Different Operations; 3.4.2 Further Reduction of Recrypt to Introduce Error; 3.4.3 Encrypted Insertion Sort; 3.5 Conclusion; References; 4 Translating Algorithms to Handle Fully Homomorphic Encrypted Data; 4.1 Challenges of Executing Encrypted Programs
: 4.10 Design of Encrypted Linked List4.11 Conclusion; References; 5 Secure Database Handling; 5.1 Security Issues in Cloud; 5.2 Sate of the Art; 5.3 Basic Operations for Database Handling and Their Encrypted Variants; 5.3.1 INSERT and SELECT Operation; 5.3.2 TOP; 5.3.3 LIKE; 5.3.4 ORDER BY; 5.3.5 GROUP BY; 5.4 Advanced SQL: Encrypted JOIN; 5.5 SQL Injection on Encrypted Database; 5.6 Conclusion; References; 6 FURISC: FHE Encrypted URISC Design; 6.1 Existing Encrypted Processors; 6.1.1 Heroic: Partial Homomorphic Encrypted Processor
: 4.2 Encrypted Variants of Basic Operators4.3 Encrypted Bitwise and Assignment Operators; 4.4 Encrypted Arithmetic Operators; 4.4.1 Encrypted Addition and Subtraction; 4.4.2 Encrypted Multiplication; 4.4.3 Encrypted Division; 4.5 Encrypted Relational Operators; 4.5.1 Encrypted Comparison Operation; 4.5.2 Encrypted Less Than/Greater Than Operator (FHE_Grt and FHE_Less); 4.6 Loop Handling on Encrypted Operations; 4.7 Encrypted Program Termination Using Interrupt; 4.8 Recursion Handling with Encrypted Operations; 4.8.1 Design of Encrypted Stack; 4.9 Design of Encrypted Queue
: 6.2 Implementing Fully Homomorphic Encrypted Processor Using a Ultimate RISC Instruction6.2.1 Justification of Encrypted Processor Along with Encrypted Data; 6.2.2 Why URISC Architecture in Connection to FHE; 6.2.3 Performance Based Challenge; 6.3 Design Basics of FURISC; 6.3.1 Design of FURISC; 6.3.2 Encrypted Memory Module; 6.3.3 Encrypted ALU Module; 6.3.4 Overall Architecture; 6.4 Comparison with MOVE Based URISC; 6.4.1 Performance Evaluation: SBN Versus Move FURISC; 6.5 FURISC Applied to Realize Encrypted Programs; 6.6 Results; 6.6.1 Drawback of FURISc
Abstract : This book explores the latest developments in fully homomorphic encryption (FHE), an effective means of performing arbitrary operations on encrypted data before storing it in the 'cloud'. The book begins by addressing perennial problems like sorting and searching through FHE data, followed by a detailed discussion of the basic components of any algorithm and adapting them to handle FHE data. In turn, the book focuses on algorithms in both non-recursive and recursive versions and discusses their realizations and challenges while operating in the FHE domain on existing unencrypted processors. It highlights potential complications and proposes solutions for encrypted database design with complex queries, including the basic design details of an encrypted processor architecture to support FHE operations in real-world applications.
Subject : Cryptography-- Mathematics.
Subject : Data encryption (Computer science)-- Mathematics.
Subject : Homomorphisms (Mathematics)
Subject : Cryptography-- Mathematics.
Subject : Homomorphisms (Mathematics)
Subject : SCIENCE-- System Theory.
Subject : TECHNOLOGY ENGINEERING-- Operations Research.
Dewey Classification : ‭003.54‬
LC Classification : ‭QA268‬
Added Entry : Aung, Khin Mi Mi
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