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Free Download Hash Functions and Algorithms: Definitive Reference for Developers and Engineers
English | 2025 | ISBN: 6610000930227 | 363 pages | EPUB (True) | 2.64 MB
"Hash Functions and Algorithms"
"Hash Functions and Algorithms" delivers a comprehensive and rigorous exploration of the theory, design, and multifaceted applications of hash functions in modern computing. Beginning with a robust foundation in the mathematical principles and desirable cryptographic properties that underpin hash function construction, the book meticulously examines the spectrum from noncryptographic hashing schemes to state-of-the-art cryptographic standards. Readers will gain nuanced insights into the interplay between randomness, statistical evaluation, and the fundamental limitations of hash algorithms, alongside practical guidance for both classical and cutting-edge hash designs.
Moving seamlessly from foundational theory to real-world implementation, the text delves into the intricate roles of hashing in data structures, algorithms, distributed systems, security protocols, and large-scale network applications. It analyzes advanced data structures such as hash tables, Bloom filters, and Merkle trees, and investigates secure application domains including authentication schemes, blockchain technology, digital signatures, and password protection. Dedicated sections address performance optimization on software and hardware platforms, with an eye toward side-channel resistance, resource-constrained environments, and robust benchmarking practices.
Addressing both historic attacks and emerging threats, the book provides a critical perspective on hash function vulnerabilities, quantum-era cryptanalysis, and strategies for algorithm agility in evolving security landscapes. Concluding with an exploration of lightweight hashing, verifiable delay functions, zero-knowledge proofs, and other future-focused directions, "Hash Functions and Algorithms" stands as a definitive and timely resource for researchers, practitioners, and students seeking mastery in this foundational field of computer science.
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