6 Homomorphic Encryption Books That Separate Experts from Amateurs

Çetin Kaya Koç, a scholar with deep expertise in cryptographic engineering and homomorphic encryption, brings a rigorous and systematic approach to this focused examination of partially homomorphic encryption algorithms. You’ll find detailed explanations of foundational schemes like RSA, ElGamal, and Paillier, alongside nuanced insights into their mathematical underpinnings and operational trade-offs. The book’s structured overview of twelve key algorithms equips you to understand their applications in sensitive fields such as healthcare and national security. While it’s technical, the clarity in notation and methodical treatment makes it particularly suited for graduate students and researchers committed to cryptology’s evolving challenges.

Allon Adir, backed by his deep expertise at IBM Research and a strong foundation from Technion, delivers a focused exploration of Fully Homomorphic Encryption (FHE) tailored for data science applications. The book unpacks essential techniques like polynomial approximations and tile tensor data structures, showing how these overcome FHE’s inherent challenges to enable privacy-preserving analytics. You’ll find practical examples and exercises that make complex cryptographic concepts accessible, especially if you’re a developer or data scientist without a heavy cryptography background. While technical, it’s designed to bridge theory and application, making it especially useful for those aiming to integrate encryption into data workflows securely.

This tailored book expertly explores the intricate world of homomorphic encryption, delving into core principles and real-world applications with a focus that matches your background and learning goals. It reveals how computations on encrypted data can be performed securely, unlocking new dimensions in data privacy and cryptography. The content is carefully synthesized to guide you through foundational theories, mathematical constructs, and advanced techniques, creating a personalized pathway that addresses your specific interests in both theoretical and practical aspects. By concentrating on your unique objectives, this book offers a clear, in-depth examination of homomorphic encryption that bridges complex expert knowledge with your individual learning journey.

Rashmi Agrawal and Ajay Joshi bring their deep engineering expertise to explore the practical challenges of designing computing systems based on Fully Homomorphic Encryption (FHE). You’ll gain a clear understanding of how FHE enables computation on encrypted data, a key capability for privacy in cloud services across sectors like healthcare and finance. The book walks you through FHE fundamentals and delves into architectural considerations, including why FPGA platforms strike a balance in accelerating these computations. If you’re aiming to grasp both the cryptographic concepts and hardware constraints behind privacy-preserving computing, this concise work offers focused insights without unnecessary jargon.

After analyzing the challenges of current cryptosystems, Yagisawa Masahiro developed a fully homomorphic encryption (FHE) scheme that eliminates the need for bootstrapping, significantly improving practical efficiency. The book delves into the technical construction of this scheme using octonion rings over finite fields and explores its security foundations rooted in the computational difficulty of multivariate algebraic equations. You’ll gain insight into how this approach offers resistance to quantum attacks and why it matters for secure cloud computing. Graduate students and researchers focused on advanced cryptography will find the detailed mathematical frameworks and security discussions particularly valuable.

Masahiro Yagisawa challenges the conventional reliance on Gentry’s bootstrapping technique by introducing a fully homomorphic encryption scheme based on the non-associative octonion ring. This approach leverages multivariate algebraic equations of high degree to enhance security, particularly resisting Gröbner basis attacks that threaten existing cryptosystems. You’ll gain insight into handling encryption without the computational overhead of bootstrapping, including understanding how key sizes and processing complexity can be optimized. This concise work suits cryptographers and advanced practitioners eager to explore alternative algebraic structures in homomorphic encryption, though those new to the field might find the mathematical rigor demanding.

This tailored book explores homomorphic encryption through a step-by-step guide designed to match your unique background and goals. It delves into the essential principles and practical techniques needed to implement homomorphic encryption efficiently, focusing on rapid skill-building and real-world application. By concentrating on your interests and experience level, it reveals how complex cryptographic concepts can be approached in manageable stages. Through a personalized pathway, the book examines encryption algorithms, practical coding examples, security considerations, and optimization tactics. It bridges expert knowledge with your learning preferences, providing a clear, focused journey that allows you to build confidence and competence in homomorphic encryption without the distraction of unrelated content.

The authoritative expertise behind this book emerges from Vikas Wasson's deep involvement in cloud computing and encryption techniques. You learn how the authors tackle key management and data integrity challenges within fully homomorphic encryption schemes, particularly for cloud environments. The book details the use of Diffie-Hellman key exchange and HMAC for ensuring secure key sharing and data protection, moving beyond traditional third-party auditor models. With concise chapters spanning just over 50 pages, it suits those seeking focused technical insights into enhancing cloud data security through cryptographic methods. If you work with cloud security or cryptography, this book offers concrete frameworks to address persistent encryption challenges.