In-cloud protection outsourcing data privacy protection system based on deep convolutional neural network

Abstract

The invention relates to an in-cloud protection outsourcing data privacy protection system based on a deep convolutional neural network. The system is characterizedI by being composed of a key generation center, a cloud platform, a data user and a CNN service providing unit, wherein the key generation center is an entity trusted by all other entities in the system and is responsible for distributing and managing all keys of a data user or a CNN service provider and all guide keys of the cloud platform; the cloud platform stores and manages the encrypted data outsourced from a registrar in theslave system, and provides the computing power to execute the homomorphic operation on the encrypted data; the CNN service provider provides a required depth classification model for the data user, and the decision result reflects the current situation of the data user. According to the system, on the premise of no privacy leakage, the safe calculation and classification of the data is realized.

Description

technical field [0001] The invention relates to a privacy protection system for protecting outsourced data in the cloud based on a deep convolutional neural network. Background technique [0002] With the increasing digitization of our daily lives (such as cloud computing and smart wearable devices), digital devices create more and more data. For example, it is estimated that by 2020, the amount of data is expected to reach 40ZB, or 5247GB per person. However, a study conducted by the International Data Corporation (IDC) shows that currently only a small fraction (3%) of existing digital data is labeled and usable, and only 0.5% of existing data is used for analysis. This has in part led to increased attention and investment in big data analytics and other data mining techniques. [0003] Convolutional neural network (CNN) is a deep artificial neural network (deep artificial neural network) and a popular data mining technology, which has been applied in many fields, such a...

AI Technical Summary

Problems solved by technology

However, existing frameworks usually require additional servers to provide decryption capabilities required for secure computing, or multiple rounds of communication between users and the cloud

This increases the risk of data leakage or increases energy / electricity consumption for customers

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