Secure PQC implementations, Cryptanalysis and Post-quantum Digital Trust

Expected Outcome:Proposals are expected to contribute one or more of the following:Practical robust implementations of PQC schemes that can withstand implementation attacks including side-channel attacks, fault attacks and combined attacks, and design of automated tools for evaluating the security of PQC implementations. Comprehensive guidelines for implementing countermeasures against a wide range of attacks;Advances in understanding the quantum hardness of mathematical problem classes; new quantum algorithms and improvements in quantum programming and implementation; security validation methods; design of post-quantum schemes with improved security against quantum and AI-based attacks;Post-quantum schemes and protocols to support privacy-friendly applications and services, ncluding the secure and private use of electronic identities. Design of new digital signatures, key encapsulation mechanisms, and other schemes or use of existing ones to build new verification protocols. Scope:Securing PQC algorithm implementations is vital to protect against implementation attacks, such as side channel attacks, fault attacks and combinations of these, which may be amplified by deep learning. Current countermeasures incur significant overhead, and new approaches are needed to balance security and performance. Formal verification tools and methodologies can help achieve this goal and provide machine-readable evidence. Furthermore, to boost confidence in PQC systems, their security should be assessed, including the potential impact of new quantum algorithms or new optimizations of existing ones, also combined with AI.Another key research area is digital trust in the post-quantum era, which requires transforming various areas, such as secure identities, data protection, access to essential services, and applications such as backup recovery, browser extensions and others into trusted and reliable solutions, via new post-quantum schemes and advanced building blocks for privacy-enhan