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Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
Privacy protection has been an important concern with the great success of machine learning. In this paper, it proposes a multi-party privacy preserving machine learning framework, named PFMLP, based on partially homomorphic encryption and federated ...
H. Fang, Q. Qian
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Survey on Fully Homomorphic Encryption, Theory, and Applications
Data privacy concerns are increasing significantly in the context of the Internet of Things, cloud services, edge computing, artificial intelligence applications, and other applications enabled by next-generation networks.
Chiara Marcolla+5 more
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The development of advanced materials for information encryption with time-dependent features is essential to meet the increasing demand on encryption security.
Qianqian Wang+5 more
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Matrično zasnovan algoritam za skrivanje tekstova i obradu informacija
Primena diferencijalne geometrije u skrivanju tekstualnih podataka prikazana je u ovom radu. Ta primena predstavlja generalizaciju prethodno predstavljenih metoda. Matrično vrednosne funkcije više promenljivih korišćene su u ovom radu.
Nenad O. Vesić, Dušan J. Simjanović
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Generic Construction of Dual-Server Public Key Encryption With Keyword Search on Cloud Computing
Chen et al. indicated the inner keyword guessing attack coming from the low entropy of keywords, which eliminates the semantic security of most keyword search schemes.
Raylin Tso+4 more
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Database encryption refers to the use of encryption techniques to transform a plain text database into a (partially) encrypted database, thus making it unreadable to anyone except those who possess the knowledge of the encryption key(s).
Bouganim, Luc, Guo, Yanli
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Chaos-based cryptosystems have been an active area of research in recent years. Although these algorithms are not standardized like AES, DES, RSA, etc., chaos-based cryptosystems like Chebyshev polynomials can provide additional security when used with ...
Unsub Zia+6 more
semanticscholar +1 more source
High-Secure Fingerprint Authentication System Using Ring-LWE Cryptography
This paper presents a high-secure fingerprint authentication system using ring learning with errors (ring-LWE) cryptography to protect users' fingerprint data more securely.
Tuy Nguyen Tan, Hanho Lee
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Cloud computing and social networks are changing the way of healthcare by providing realtime data sharing in a cost-effective manner. However, data security issue is one of the main obstacles to the wide application of mobile healthcare social networks ...
Qinlong Huang+3 more
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