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M

Mikhail Babenko

Researcher at North-Caucasus Federal University

Publications -  84
Citations -  715

Mikhail Babenko is an academic researcher from North-Caucasus Federal University. The author has contributed to research in topics: Residue number system & Encryption. The author has an hindex of 13, co-authored 70 publications receiving 503 citations.

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Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

TL;DR: The role of uncertainty in the resource and service provisioning, privacy, etc, especially, in the presence of the risks of confidentiality, integrity, and availability is discussed, and fundamental approaches for scheduling under uncertainty are reviewed.
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AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security

TL;DR: A configurable, reliable, and confidential distributed data storage scheme with the ability to process encrypted data and control results of computations, and introduces AR-RRNS method for error detection, correction, and controlling computational results.
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Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem

TL;DR: An improved approximate Chinese remainder theorem (CRT) is presented with the aim of performing efficient residue-to-binary conversion for general RNS moduli sets and a method is proposed to substitute fractional calculations by similar computations based on integer numbers to have a hardware amenable algorithm.
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AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage

TL;DR: It is proved that the proposed AC-RRNS algorithm based on modified threshold Asmuth–Bloom and Mignotte secret sharing schemes satisfies the formal definition of computational security and ensures security under several types of attacks.
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Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability

TL;DR: This article presents a multicloud storage architecture called WA-MRC-RRNS that combines the weighted access scheme, threshold secret sharing, and redundant residue number system with multiple failure detection/recovery mechanisms and homomorphic ciphers and proposes a multiobjective optimization mechanism to adjust redundancy, encryption–decryption speed, and data loss probability.