The Laboratory of Cryptographic Methods of Information Security addresses present-day challenges in cryptography, coding theory, steganography, and security of AI-based systems.

The laboratory actively explores the following fields: 

• coding methods in cryptography, including post-quantum cryptography; 

• steganography and digital watermarks. Data protection and insert detection;

• systems and methods for multi-factor authentication;

• data security and user privacy in distributed storage systems;

• blockchain technologies;

• AI systems security.

Researchers at the laboratory develop novel post-quantum security methods, test cryptographic solutions, design systems for steganographic integration of various data, and build new security protocols for advanced processing, storage, and transfer systems.

Projects

Completed:

• development and testing of practical solutions to ensure cybersecurity in banking (2021);

• study of promising types of algebraic noise-immune codes and the development of algorithms for their fast decoding for on-board equipment of long-term spacecrafts (2020);

• design and study of post-quantum cryptography systems based on correction codes (2019);

• bug protection in flash memory (2016);

In progress:

• Technologies for protecting information and functional safety of AI-based systems (2022-present);

• AI methods for cyberphysical systems (2020-present).

Accomplishments

Over the past two years, the laboratory’s team produced the following significant results:

• a model of a data storage system for decentralized networks based on blockchain technologies;

• an optimization method for Peterson's algorithm for decoding binary Goppa codes in cryptosystems based on coding theory; 

• a patented modification of the McEliece cryptosystem for post-quantum cryptography based on generalized codes;

• methods for reducing the key size in post-quantum cryptosystems based on error correction codes;

• validated methods for detecting attacker groups in systems ensuring cybersecurity of next-gen networks, and much more.

Educational programs

• Bachelor’s program: Information Security (in Russian);

• Master’s program: Information Security (in Russian and English).

Partners

• Russian Railways;

• Rostelecom;

• Sberbank;

• Gazprom Neft;

• StarLine;

• ARSIB;

• St. Petersburg’s Committee on Informatization and Communications;

• St. Petersburg Federal Research Center of the Russian Academy of Sciences.

Publications

• Ometov, A., Bezzateev, S., Mäkitalo, N., Andreev, S., Mikkonen, T., & Koucheryavy, Y. (2018). Multi-Factor Authentication: A Survey. Cryptography, 2(1), 1;

• Bezzateev, S., & Shekhunova, N. A. (2019). Totally decomposed cumulative Goppa codes with improved estimations. Designs, Codes and Cryptography, 87(2–3), 569-587;

• Bezzateev, S. V., & Voloshina, N. V. (2017). Masking Compression based on Weighted Image Structure Model. Informatsionno-upravliaiushchie Sistemy, 6(91), 88-95;

• Ometov, A., Bardinova, Y., Afanasyeva, A., Masek, P., Zhidanov, K., Vanurin, S., Sayfullin, M., Shubina, V., Komarov, M., & Bezzateev, S. (2020). An Overview on Blockchain for Smartphones: State-of-the-Art, Consensus, Implementation, Challenges and Future Trends. IEEE Access, 8, 103994–104015;

• Bezzateev, S., & Shekhunova, N. A. (2018). Lower Bounds on the Covering Radius of the Non-Binary and Binary Irreducible Goppa Codes. IEEE Transactions on Information Theory, 64(11), 7171-7177;

• Davydov, V. V., & Bezzateev, S. (2020). Accident Detection in Internet of Vehicles using Blockchain Technology.