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In today's interconnected digital landscape, cybersecurity threats pose significant challenges to individuals, organizations, and governments worldwide. Cyberattacks, data breaches, and malicious activities continue to escalate in sophistication and frequency, jeopardizing sensitive information, financial assets, and critical infrastructure. Amidst this escalating threat landscape, there's a pressing need for comprehensive solutions to safeguard digital assets and ensure the integrity, confidentiality, and availability of data. Traditional security measures are proving inadequate in the face of evolving cyber threats, necessitating innovative approaches to cybersecurity. Innovations in Modern Cryptography emerges as a solution to address the complex cybersecurity challenges of the digital age. This comprehensive handbook offers a deep dive into cutting-edge cryptographic techniques, algorithms, and applications that are reshaping the landscape of cybersecurity. By exploring advanced topics such as post-quantum cryptography, homomorphic encryption, and secure multi-party computation, the book equips readers with the knowledge and tools needed to mitigate cyber risks and protect sensitive data effectively.
Cryptography has evolved significantly, from simple ancient ciphers to sophisticated algorithms to secure modern digital communications. The advent of quantum computing and increasing cyber threats represents a paradigm shift, challenging traditional cryptographic methods and necessitating the development of quantum-?resistant algorithms. The Chapter 1 discusses this advancement by focusing on core principles such as superposition, entanglement, and the no-?cloning theorem, which provide improved security measures. It investigates several quantum key distribution protocols and novel solutions, including quantum secure direct communication and deterministic secure quantum communication. This chapter also addresses the challenges posed by quantum computing to existing cryptographic systems by investigating post-?quantum cryptographic algorithms and emphasizes technological and ethical considerations in the practical implementation of quantum cryptography.
The combination of Artificial Intelligence (AI) methods like machine learning with cryptography is essential for more intelligent and adaptable security measures. The Chapter 2 of the book outlines the convergence of AI with cryptography in detail. It summarizes the foundations of cryptography and the major AI techniques such as Machine Learning, Deep Learning, and evolutionary algorithms. The merging of AI &amp cryptography to maximize the potential of automated cryptanalysis that comes in terms of exposing the vulnerabilities, state of the art ciphers that follow an improved cryptographic design, enhanced intrusion detection in the form of anomaly recognition and advanced secure collaboration protocols for safe collaborative learning without sacrificing the secrecy of information. Applications in domains like finance, healthcare, and internet of things (IoT), among others, are further proofs of the benefits of program crypto-?AI techniques