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MSCryptoNet: Multi-Scheme privacy-preserving deep learning in cloud computing
2019
IEEE Access
We also prove that the MSCryptoNet as a privacy-preserving deep learning scheme over the aggregated encrypted data is secured. ...
for computations in the homomorphic encryption schemes. ...
PRIVACY-PRESERVING DEEP LEARNING With the advancement in cloud computing, there has been numerous existing works considering the problems confronting the security of the cloud architecture [36] , [37 ...
doi:10.1109/access.2019.2901219
fatcat:gjlplklyfvgofkxlubd6crvgua
Deep Q-Learning-Based Neural Network with Privacy Preservation Method for Secure Data Transmission in Internet of Things (IoT) Healthcare Application
2022
Electronics
Hence, in this work, an innovative framework, the deep Q-learning-based neural network with privacy preservation method (DQ-NNPP), was designed to protect data transmission from external threats with less ...
Comparatively, the proposed model outperformed some standard approaches, such as thesecure and anonymous biometric based user authentication scheme (SAB-UAS), MSCryptoNet, and privacy-preserving disease ...
scheme (SAB-UAS), MSCryptoNet, and privacy-preserving disease prediction (PPDP) on the basis of these parameters. ...
doi:10.3390/electronics11010157
fatcat:xndfnce5hbcuxfwl63pdu4hk74
IEEE Access Special Section Editorial: Security and Privacy for Cloud and IoT
2020
IEEE Access
In the article ''MSCryptoNet: Multi-scheme privacypreserving deep learning in cloud computing,'' by Kwabena et al., the authors propose a novel framework, called MSCryptoNet, which enables the scalable ...
execution and conversion of a state-of-the-art learned neural network to MSCryptoNet models in the privacy-preservation context. ...
doi:10.1109/access.2020.3040469
fatcat:ixv7f7mk65bqrbepyd7v5vcxle
Privacy-Preserving Cloud Computing: Ecosystem, Life Cycle, Layered Architecture and Future Roadmap
[article]
2022
arXiv
pre-print
Privacy-Preserving Cloud Computing is an emerging technology with many applications in various fields. ...
This survey paper on privacy-preserving cloud computing can help pave the way for future research in related areas. ...
machine learning similar to [333] that authors have introduced a framwork called SPDDL (Secure and Privacy-preserving distributed deep learning) for secure and privacy-preserving Distributed Deep Learning ...
arXiv:2204.11120v1
fatcat:tx75pckegjgqxg6tiibptiazbi
Retrieving Encrypted Images Using Convolution Neural Network and Fully Homomorphic Encryption
2022
Baghdad Science Journal
Through these results, researchers conclude that deep learning is an effective method for image retrieval and that a CKKS method is appropriate for image privacy protection. ...
This paper aims to address the issues of accuracy utilizing deep learning techniques as the CNN method. ...
Owusu et al. 30 developed a new framework, MSCryptoNet, that enables MSCryptoNet models to be executed, converted, and scaled in a privacy-preserving manner. ...
doi:10.21123/bsj.2022.6550
fatcat:3aa3zoqxjnh27bunc47kqsd5za