Edge-AI integrated secure wireless IoT architecture for real time healthcare monitoring and federated anomaly detection. [PDF]
Prabha M +3 more
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Federated Security for Privacy Preservation of Healthcare Data in Edge-Cloud Environments. [PDF]
Jayaweera R, Agrawal H, Karie NM.
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PrivChain-AI leveraging blockchain and federated learning for private financial reporting and access control. [PDF]
Alaklabi S.
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MedShieldFL-a privacy-preserving hybrid federated learning framework for intelligent healthcare systems. [PDF]
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A Blockchain-Based Secure Data Transaction and Privacy Preservation Scheme in IoT System. [PDF]
Wu J, Bian Z, Gao H, Wang Y.
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Design of a multi-layered privacy-preserving architecture for secure medical data exchange in cloud environments. [PDF]
Muthuvel S, Priya S, Sampath Kumar K.
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A algorithm of fully homomorphic encryption
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012Among so many cryptographies, homomorphice encryption has attracted widely attentions from scholars for its special performance. Common cryptography can't directly calculate on encrypted data, but homomorphic encryption can, meanwhile, the operation results of homomorphic encryption will be automatically encrypted.
Guangli Xiang, Benzhi Yu, Ping Zhu
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A Flexible Fully Homomorphic Encryption
Wireless Personal Communications, 2016In view of research on fully homomorphic encryption scheme proposed by Zvika Brakerski in 2012, we find it is not much efficient, because it requests that $$q/B \ge (O(nlogq))^{L+O(1)}$$ , and can encrypt ...
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SoK: Fully Homomorphic Encryption Accelerators
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to the underlying polynomial computations with high computation complexity and extremely time-consuming ciphertext maintenance operations.
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