AI In Cryptography

"AI in Cryptography" is conceived from the urgent need to bridge the pedagogical gap and provide a holistic understanding of this burgeoning interdisciplinary domain. Traditional curricula often treat AI and cryptography as separate subjects. However, the contemporary technological landscape, driven by big data, the Internet of Things (IoT), and sophisticated cyber threats, demands a more integrated approach. This textbook is designed to equip B.Tech and M.Tech students, as well as researchers and practitioners, with the foundational knowledge and advanced insights necessary to navigate and contribute to this exciting field.

Key Features:

1. Comprehensive Coverage: Offers a unique, integrated treatment of AI and Cryptography, covering both AI for Crypto and Crypto for AI.
2. NEP 2020 & AICTE Aligned: Specifically designed to meet the learning objectives and skill requirements outlined by these pivotal Indian educational frameworks, ensuring relevance and applicability.
3. Globally Relevant Content: Incorporates topics and depth suitable for advanced undergraduate and postgraduate courses worldwide.
4. Latest Advancements: Includes up-to-date discussions on deep learning in cryptanalysis, federated learning, homomorphic encryption, adversarial AI, post-quantum cryptography, and AI-blockchain synergy.
5. Practical Examples and Case Studies: Illustrates theoretical concepts with practical examples and real-world case studies to enhance understanding and demonstrate applicability.
6. Clear Learning Path: Structured with a logical flow, starting from fundamentals and progressing to advanced topics, with clear learning objectives implicitly guiding each chapter.
7. Focus on ELSI: Dedicated content on the ethical, legal, and societal implications, fostering responsible innovation.
8. Future-Oriented: Discusses emerging trends, open research problems, and practical tools, preparing students for future challenges and opportunities.
9. Accessible Language: Strives to explain complex topics in a clear and understandable manner, balancing mathematical rigor with intuitive explanations.
10. Pedagogical Soundness: Each chapter is designed to build knowledge incrementally, with potential for exercises, review questions, and programming assignments to reinforce learning (to be developed by instructors or in a companion guide).

"AI in Cryptography" is more than a textbook; it is an invitation to explore, innovate, and master the sophisticated interplay between two of the most influential technologies of our time. We believe it will serve as an invaluable resource for anyone looking to navigate the challenges and seize the opportunities at this exciting frontier. We hope this book empowers you to contribute meaningfully to the development of secure, intelligent, and trustworthy systems for the future.