8 Best-Selling Hashing Books Millions Trust and Read

Drawing from their extensive experience in cryptography and computer science, Josef Pieprzyk and Babak Sadeghiyan developed this book to address the nuanced challenges in hashing algorithm design. You get a detailed look into how hashing compresses large messages into fixed-size digests, crucial for database searches and digital signature authentication. Chapters explore both the theoretical underpinnings and practical implementations, including an extensive bibliography for deeper study. This book suits anyone working on secure communication protocols or database indexing who needs a solid grasp of both foundational concepts and advanced techniques.

Alan G. Konheim, PhD, brings his deep expertise in cryptography and computer science to this detailed exploration of hashing’s evolution and mathematical foundations. Drawing from his pioneering work at IBM on the Data Encryption Standard, he offers you a blend of historical context and technical analysis, reinforced with course-based examples and problem sets. You’ll gain a solid grasp of hashing algorithms and their role in modern security challenges, especially if you’re a graduate student or researcher aiming to advance your understanding of cryptography. This book’s focus on the mathematical rigor behind hashing makes it less suited for casual readers but invaluable for those serious about security and algorithm design.

This tailored book explores proven hashing techniques with a focus on real-world problems and practical applications. It reveals how established methods can be adapted to match your background and specific challenges, providing a personalized learning experience. By blending widely validated knowledge with insights aligned to your interests, the book covers essential hashing concepts, collision handling, security considerations, and performance optimization. It examines common pitfalls and effective solutions, ensuring a deep understanding of hashing's role in data structures and cryptography. This personalized approach helps you engage directly with content that addresses your goals and experience level, making your learning both relevant and efficient.

The authors bring a deep understanding of distributed systems to this focused exploration of Distributed Hash Tables (DHTs), bridging academic theory with industrial applications. You’ll gain insight into foundational DHT principles and learn how these platforms address challenges like load balancing, replication, and latency in large-scale environments. The book also details practical implementations of DHTs in multicast, search, storage, and content delivery, making it especially useful if you work with distributed networks or scalable systems. While concise, the text’s clear explanation of popular DHT platforms and their real-world uses equips you with a solid grasp of this critical technology.

Unlike most books that focus solely on traditional spam filtering methods, Okunade Oluwasogo Adekunle’s dissertation introduces an innovative Word Stemming/Hashing Algorithm designed specifically to improve mail classification accuracy. You’ll learn how this approach handles misspelled or modified suspicious terms that typically evade content-based filters, enhancing their ability to detect spam. The book dives into the mechanics of extracting base stems from altered words, illustrated with a simple rule-based algorithm that strengthens spam detection. If you deal with email filtering systems or are interested in algorithmic text classification, this book gives you a targeted technique to tackle evolving spam tactics.

What if everything you knew about hash tables was wrong? Paul Dorfman, a pioneer in SAS hash programming since the late 1980s, takes you beyond basics to master dynamic data management with the SAS hash object. This book breaks down complex operations like data aggregation, filtering, and memory optimization using real-world examples such as sports statistics. You'll learn to select the right hash tools for specific tasks and understand the underlying algorithms, empowering you to handle large datasets efficiently. Whether you're a data analyst or BI professional, this book equips you with focused techniques to solve tough data challenges confidently.

This tailored book accelerates your hashing skills through a focused, step-by-step learning experience that matches your background and interests. It combines widely validated knowledge with personalized exploration, ensuring you engage deeply with both foundational concepts and practical applications. The book examines critical hashing techniques, algorithm nuances, and security considerations, all adapted to address your specific goals and skill level. By concentrating on key areas relevant to you, it reveals how hashing supports efficient data structures, cryptographic security, and distributed computing. This personalized approach helps you master essential concepts more efficiently, making your learning journey both effective and engaging.

Drawing from deep expertise in cryptanalysis, Tao Xie and Fanbao Liu detail a systematic approach to uncovering vulnerabilities in widely used hash functions, focusing primarily on MD5. You get a thorough walkthrough of differential cryptanalysis concepts such as signed differential representation and weak input difference selection, along with practical algorithms for collision attacks, backed by C++ source code to test these methods yourself. The book is especially suited if you're engaged in information security research or cryptographic algorithm analysis. While it dives into technical specifics, the structured explanations and examples in key chapters make it accessible to advanced students and professionals aiming to understand or develop cryptanalytic techniques.

Drawing from their extensive expertise in symmetric cryptography, the authors delve into the design and implementation of the BLAKE hash function and its successor BLAKE2. You’ll explore foundational concepts such as cryptographic hashing applications, security definitions, and collision search techniques, before moving into detailed expositions of BLAKE’s variants and design rationale. The book also addresses practical implementation strategies across diverse programming environments and hardware considerations. If you work in applied cryptography, software development, or security engineering, this book provides solid technical insight and reference material tailored to both practitioners and advanced students.

When Thomas Mailund realized the gap in accessible resources for implementing hash tables in C, he developed this book to bridge theory and practice clearly. You’ll progress from simple hash table constructions without collision handling to more sophisticated techniques, including collision resolution and dynamic resizing strategies. The book’s walkthroughs, supported by GitHub code, let you experiment with real implementations, which sharpens your understanding of how design choices impact performance. If you have some C programming experience, this book guides you in mastering efficient data structures essential for sets and lookup tables. It’s ideal if you want concrete skills rather than abstract theory.