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Applied Cryptography and Network Security

Overview of attention for book
Applied Cryptography and Network Security
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Rate-Optimizing Compilers for Continuously Non-malleable Codes
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    Chapter 2 Re: What’s Up Johnny?
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    Chapter 3 Cryptanalysis of ForkAES
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    Chapter 4 Short Lattice-Based One-out-of-Many Proofs and Applications to Ring Signatures
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    Chapter 5 Hierarchical Attribute-Based Signatures: Short Keys and Optimal Signature Length
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    Chapter 6 Raptor: A Practical Lattice-Based (Linkable) Ring Signature
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    Chapter 7 Parallelizable MACs Based on the Sum of PRPs with Security Beyond the Birthday Bound
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    Chapter 8 DynOpVm: VM-Based Software Obfuscation with Dynamic Opcode Mapping
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    Chapter 9 Hide and Seek: An Architecture for Improving Attack-Visibility in Industrial Control Systems
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    Chapter 10 A Modular Hybrid Learning Approach for Black-Box Security Testing of CPS
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    Chapter 11 PassGAN: A Deep Learning Approach for Password Guessing
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    Chapter 12 Uncle-Block Attack: Blockchain Mining Threat Beyond Block Withholding for Rational and Uncooperative Miners
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    Chapter 13 Longitudinal Analysis of Misuse of Bitcoin
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    Chapter 14 Faster Multiplication in $$\mathbb {Z}_{2^m}[x]$$ on Cortex-M4 to Speed up NIST PQC Candidates
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    Chapter 15 Generic and Practical Key Establishment from Lattice
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    Chapter 16 One Sample Ring-LWE with Rounding and Its Application to Key Exchange
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    Chapter 17 Masking Dilithium
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    Chapter 18 Proxy Re-Encryption and Re-Signatures from Lattices
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    Chapter 19 DL-Extractable UC-Commitment Schemes
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    Chapter 20 A New Encoding Framework for Predicate Encryption with Non-linear Structures in Prime Order Groups
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    Chapter 21 Unbounded Inner-Product Functional Encryption with Succinct Keys
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    Chapter 22 Password-Authenticated Public-Key Encryption
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    Chapter 23 Public Immunization Against Complete Subversion Without Random Oracles
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    Chapter 24 Strong Leakage and Tamper-Resilient PKE from Refined Hash Proof System
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    Chapter 25 Benchmarking Privacy Preserving Scientific Operations
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    Chapter 26 Turbospeedz: Double Your Online SPDZ! Improving SPDZ Using Function Dependent Preprocessing
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    Chapter 27 pRate: Anonymous Star Rating with Rating Secrecy
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    Chapter 28 Masking Fuzzy-Searchable Public Databases
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    Chapter 29 Homomorphic Training of 30,000 Logistic Regression Models
Attention for Chapter 27: pRate: Anonymous Star Rating with Rating Secrecy
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