Future-Proof Secure Systems with Traditional and Quantum Resistant Cryptography

Dear Colleagues,

As internet and information technology is evolving, our everyday life is becoming more and more digital, connecting our physical world with cyberspace. In the emerging cyberphysical systems, cryptography plays a critical role for harmoniously connecting the physical and the cyber world. On one hand, traditional cryptographic algorithms lay the foundations for building robust and reliable systems. On the other hand, quantum resistant cryptography plays a key role to future-proof the connected world. Ultimately, both traditional and post-quantum cryptography are the pillars for establishing trustworthy relationships in emerging and future systems.  

This Special Issue provides a broad overview of hot topics and open issues by covering areas that include many different theoretical and technological aspects involved in traditional and post-quantum cryptography.

Specific topics of interest include, but are not limited to:

• Quantum cryptography;
• Quantum key distribution;
• Code-based, lattice-based, hash-based, isogeny-based, multivariate cryptography;
• Standardization efforts in quantum resistant cryptography;
• Attacks on post-quantum cryptosystems;
• Security models for post-quantum cryptography;
• Physical layer authentication for cyberphysical systems;
• Fuzzy cryptography, PUFs, and biometrics;
• Security and privacy techniques for energy, transportation, healthcare, and medical systems;
• TPM and TEE security;
• Cryptographic solutions in supply chain security;
• Hardware implementations of cryptographic algorithms;
• Side channels and fault attacks for cyberphysical systems;
• Deanonymization and cryptanalysis;
• Lightweight cryptography for the IoT and sensors;
• Blockchain and cryptocurrencies;
• Homomorphic encryption;
• Security and anonymity for 5G/6G mobile networks;
• Verifiable credentials and attribute-based credentials;
• Searchable encryption and privacy preserving data mining for cloud technologies;
• Machine learning and cryptography.

Dr. Christoforos Ntantogian
Prof. Dr. Emmanouil Magkos
Guest Editors

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