Publications
Talk · International Conference on Control in Technical Systems · October 1, 2017
Research and implementation of the algorithm for data de-identification for Internet of Things
Dmitrii Kaplun, Denis V. Gnezdilov, George A. Efimenko, Aleksandr Sinitca, Vyacheslav V. Gulvanskiy
Abstract
The article is devoted to the search for ways to protect the data privacy for Internet of things. Different technologies and algorithms of privacy protection are considered, their computing and energy intensity is investigated. Prototyping is performed on the FPGA of the Internet of things. Searching for ways to minimize energy consumption and computing costs of the Internet of things with algorithms for protecting privacy is realized.
Privacy-Preserving Technologies in DataIoT and Edge/Fog ComputingCryptographic Implementations and Securitydata de-identificationInternet of Thingsdata privacy protection
More by Dmitry Kaplun
- Codewithsayanjib/slm-systematic-review: v1.1Zenodo · 2026
- Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosisScientific Data · 2026
- Microscopy Image Dataset of pulmonary vessels for Deep Learning-Based Quantitative assessment of fibrosisFigshare · 2026
- MA2MU-Net++: A Mahalanobis distance and Ackley function based multi-modal U-Net++ model for breast nuclei segmentation in histopathology imagesBiomedical Signal Processing and Control · 2026