Differential privacy prediction system and method combining privacy protection and Web quality of service

A quality of service, differential privacy technology, applied in the computer field

Inactive Publication Date: 2018-02-02
SHENZHEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, another problem is that high-quality recommendations can only be achieved under weaker privacy parameters, or can only be achieved for a small number of users

Method used

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  • Differential privacy prediction system and method combining privacy protection and Web quality of service
  • Differential privacy prediction system and method combining privacy protection and Web quality of service
  • Differential privacy prediction system and method combining privacy protection and Web quality of service

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Embodiment Construction

[0081] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, and only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0082] 1. System model and problem definition

[0083] 1. Differential privacy

[0084]It is necessary to distinguish differential privacy from traditional cryptosystems. Differential privacy gives a strict quantitative definition of privacy leakage under a very strict attack model, and proves that based on the idea of ​​differential privacy, users can maximize privacy protection and ensure data availability. The biggest advantage of this method is that although the data is distorted, the noise required for perturbation is independent of the data size. We can achieve high levels of privacy by adding very small amounts of noise. Although many privacy protecti...

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Abstract

The invention discloses a differential privacy prediction system combining privacy protection and Web quality of service. The system comprises a data collection module, a data hiding module, a collaborative filtering module and a prediction result module; the data collection module is used by each user to collect a quality of service value in local, namely, a QoS value; the data hiding module is used for hiding the collected quality of service value; the collaborative filtering module is used for performing collaborative filtering on the quality of service value hidden by the data hiding module; and the prediction result module is used for predicting a result via the quality of service value filtered by the collaborative filtering module. In addition, the invention further discloses a differential privacy prediction method combining privacy protection and Web quality of service. The differential privacy is imported in a collaborative Web service QoS prediction framework, and thus the user can obtain the maximum privacy protection by ensuring the availability of the data. The experimental results show that the system and method of the invention provide a secure and accurate QoS prediction for cooperative Web services.

Description

technical field [0001] The present invention belongs to the field of computers, and specifically relates to a privacy protection system, in particular to a differential privacy prediction system for privacy protection in conjunction with Web service quality; in addition, the present invention also relates to a differential privacy prediction method for privacy protection in conjunction with Web service quality. Background technique [0002] Quality of Service (QoS) is widely used to describe the non-functional characteristics of web services. Techniques for selecting, combining, and recommending web services based on quality of service have been extensively discussed in papers in recent years. The premise of these methods is that the precise QoS value of the Web service is always available. But obtaining precise QoS values ​​is not an easy task. On the one hand, the QoS values ​​announced by service providers or third-party communities are inaccurate to service users becau...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/147H04L41/5009H04L41/142
Inventor 毛睿李荣华陆敏华王毅罗秋明商烁刘刚
Owner SHENZHEN UNIV
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