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MSCryptoNet: Multi-Scheme privacy-preserving deep learning in cloud computing

Owusu-Agyemeng Kwabena, Zhen Qin, Tianming Zhuang, Zhiguang Qin
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

Nirmala Devi Kathamuthu, Annadurai Chinnamuthu, Nelson Iruthayanathan, Manikandan Ramachandran, Amir H. Gandomi
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

Kuo-Hui Yeh, Weizhi Meng, Sk Hafizul Islam, Kuan Zhang, Ennan Zhai
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]

Saeed Ahmadi
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