Wednesday, July 13, 2022
MLIT Conference Hall, Online seminar via Zoom
Babenko Mikhail
(Ivannikov Institute for System Programming, Moscow North Caucasus Center for Mathematical Research, North-Caucasus Federal University, Stavropol)

Mathematical Models, Methods and Algorithms for Processing Encrypted Data in Distributed Environments

(based on the doctoral thesis)
Cloud computing provides significant advantages in organizing remote distributed storage and data processing. Among the main ones are availability, scalability, energy efficiency, etc. However, along with the benefits, there are additional problems associated with the loss and/or distortion of data. Data outsourcing implies the provision of direct control over data during its processing, which increases the risk of information theft in case of dishonest behavior of the cloud service provider. Homomorphic computing brings together two critical data outsourcing factors: remote processing and privacy. The main limiting factor in building security and reliable data processing systems is the high computational complexity of the algorithms. The report presents a comprehensive approach to reducing the computational complexity of algorithms for remote homomorphic processing of confidential data, including the development of all design stages, starting with building a model that meets the requirements for modern distributed computing environments and ending with the development of efficient algorithms for implementing the functionality of homomorphic computing schemes.

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Identifier conference: 922 6277 6666
Access code: 369667