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Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration. [PDF]
Nagarjun AV, Rajkumar S.
europepmc +1 more source
SecMLOps: A comprehensive framework for integrating security throughout the machine learning operations lifecycle. [PDF]
Zhang X, Zhao P, Jaskolka J, Li H, Lu R.
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Gambling and hidden practices in forensic psychiatry: a qualitative study of ambivalence, autonomy, and negotiated care. [PDF]
Hansen RM +6 more
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Mexican International Conference on Computer Science, 2022
The exponential data growth (volume), continuously produced from different sources (variety) such as sensors, endusers, and IoT devices, has motivated the creation of efficient data science applications to obtain useful information (value and veracity ...
D. Carrizales-Espinoza +2 more
semanticscholar +1 more source
The exponential data growth (volume), continuously produced from different sources (variety) such as sensors, endusers, and IoT devices, has motivated the creation of efficient data science applications to obtain useful information (value and veracity ...
D. Carrizales-Espinoza +2 more
semanticscholar +1 more source
2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI), 2020
For the difficulties in sharing sensitive data among financial institutions, hidden dangers in data security, and high financial risk control costs, the paper proposed a secure data sharing solution based on blockchain technology with proxy re-encryption
Zhan Su +3 more
semanticscholar +1 more source
For the difficulties in sharing sensitive data among financial institutions, hidden dangers in data security, and high financial risk control costs, the paper proposed a secure data sharing solution based on blockchain technology with proxy re-encryption
Zhan Su +3 more
semanticscholar +1 more source

