Credible privacy intelligent service computing system and method based on block chain

Abstract

The invention provides a credible privacy intelligent service computing system based on a block chain, which performs computing service, encryption service and credible right and interest service, andcomprises a user end, a model providing end and a cloud server end , the user side is a user of service computing and is provided with a data and public and private key generator, and the user end puts forward demand and request service and starts the whole service process after authority is obtained; the model providing end obtains the encrypted public key from the cloud server end, encrypts thetrained prediction model by using the public key, provides the encrypted prediction model to the cloud server end, provides a classification label at the same time, and obtains a rights and interestsdistribution result and corresponding cost after the calculation service is completed; and the cloud server end is used for providing computing resources and model services and completing the requestof the user end. The invention further provides a calculation method and a calculation model, a homomorphic encryption method is adopted, and the calculation model comprises a credible privacy service calculation sub-model, a prediction service privacy calculation sub-model and a prediction service rights and interests evaluation sub-model.

Description

technical field [0001] The invention relates to the technical field of block chain and privacy protection, in particular to a trusted privacy intelligent service computing system and model based on block chain. Background technique [0002] At present, human society has entered the era of mobile Internet, and massive amounts of information are flooding all aspects of life. New technologies emerge in endlessly. Big data, cloud computing, artificial intelligence, and blockchain technologies are intertwined and interdependent, and new computing models are constantly being derived. How to obtain effective information from massive amounts of information and train a feature model so that it can intelligently serve humans is a task that artificial intelligence and big data need to complete. Deep learning technology has emerged in recent years and has been widely used in various industries such as transportation, finance, and insurance. Convolutional neural network is an important...

AI Technical Summary

Problems solved by technology

[0007] (2) The service and rights rules of the traditional cloud center are formulated by the cloud provider, which lacks binding force and transparency

In addition, cloud providers have the right to modify transaction and service data, and it is difficult to pursue responsibility for disputes

[0008] (3) Traditional computing services are usually independently provided by cloud service providers, lacking an effective joint participation and management mechanism, which is likely to result in the monopoly of large cloud service providers, and it is difficult for small cloud service providers to survive, which is not conducive to the healthy development of the market and the effective integration of resources

The rights and interests rules of traditional service computing are formulated by service providers, which lack transparency and public binding force. In this way, cloud providers have too much power, and the rights and interests of service users cannot be effectively guaranteed, so they are unwilling to participate in cloud service computing

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