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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
In-depth Homomorphic Encryption: Mathematical Foundations and Python Implementations

In-depth Homomorphic Encryption: Mathematical Foundations and Python Implementations

Majumdar, Partha

Paperback

Series: In-Depth, Book 3

General ComputersComputer Security

ISBN13: 9798199994088
Publisher: Independently Published
Published: Jun 4 2026
Pages: 326
Weight: 1.67
Height: 0.68 Width: 8.50 Depth: 11.00
Language: English
Privacy has become one of the defining challenges of the digital age. Organisations collect unprecedented volumes of sensitive information, yet traditional security models require data to be decrypted before it can be analysed, creating a critical vulnerability. Homomorphic Encryption fundamentally changes this paradigm by enabling computation directly on encrypted data, allowing organisations to derive insights without ever exposing the underlying information.

In-depth Homomorphic Encryption: Mathematical Foundations and Python Implementations provides a comprehensive journey from the origins of homomorphic cryptography to the cutting-edge architectures powering privacy-preserving artificial intelligence, secure cloud computing, federated learning, confidential analytics, and next-generation autonomous systems.

Designed for students, researchers, software engineers, cybersecurity professionals, data scientists, AI practitioners, and technology leaders, this book bridges the gap between theory and practice. Readers are carefully guided through the mathematical principles underpinning modern homomorphic encryption while simultaneously learning how these concepts are implemented in Python using contemporary open-source libraries.

The book begins by exploring the historical evolution of cryptography and the limitations of conventional encryption systems. It then introduces the mathematical foundations needed to understand homomorphic computation, including modular arithmetic, polynomial rings, finite fields, lattice-based cryptography, Learning With Errors (LWE), Ring Learning With Errors (RLWE), and the noise-management mechanisms that enable Fully Homomorphic Encryption.

Building upon these foundations, the text provides an in-depth treatment of the major homomorphic encryption schemes, including:

- RSA and ElGamal homomorphic properties

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