Privacy protection method for mode information loss minimized sequence data

A technology of mode information and data privacy, applied in the direction of digital data protection, electronic digital data processing, special data processing applications, etc., can solve the problems of general limitation and achieve the effect of ensuring usability

Inactive Publication Date: 2011-02-02
ZHEJIANG UNIV
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Problems solved by technology

Although BFP2KA claims to be able to retain patterns, its so-called patterns ar

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  • Privacy protection method for mode information loss minimized sequence data
  • Privacy protection method for mode information loss minimized sequence data
  • Privacy protection method for mode information loss minimized sequence data

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Embodiment Construction

[0024] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and specific implementation.

[0025] 1. If figure 1 and figure 2 Shown, the specific implementation process and working principle of the present invention are as follows:

[0026] 1) Establish a generalized time series pattern definition model, and select an appropriate pattern definition function set (that is, a pattern definition function set that meets the actual application requirements) according to the model and the actual application pattern mining task requirements;

[0027] 2) Determine the schema mapping function according to the schema definition function set proposed in step 1). The attributes of time series are divided into three types: identification attribute, QI attribute (that is, joint identification attribute) and sensitive attribute. The pattern features of the original time series are extracted by the pattern mapping fun...

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Abstract

The invention discloses a privacy protection method for mode information loss minimized sequence data. The method comprises the following steps of: confirming a model defined function set based on a generalized mode definition model and a practical application requirement, based on which selecting a mode mapping function capable of realizing minimized mode information loss so as to extract a mode feature, confirming the privacy attack type based on the background knowledge of an attacker, and exerting a (k, P) anonymity mode on a QI attribute value of a time sequence and the mode feature based on a k anonymity technique, wherein the mode separately releases the attribute generalized region of the time sequence and the mode feature, minimizes the mode information loss of the time sequence based on ensuring the data privacy and ensures the usability of the data. The (k, P) anonymity mode is compatible with various mode definition ways and has a set of complete usability evaluating system, the integrity and effectiveness of which results in that the (k, P) anonymity mode is extremely relied and widely applied.

Description

technical field [0001] The invention relates to a database system, data privacy and pattern information extraction technology, in particular to a sequence data privacy protection method which minimizes the loss of pattern information. Background technique [0002] Time series data is recognized as a very important type of data in nature and human society, and its application scope includes important fields such as financial analysis and social behavior tracking. In recent years, the rapid development of sensor networks, RFID and wireless positioning devices has highlighted the importance of time series data. However, it is worth noting that time series data also contains a large amount of private information. If it is not properly protected, data owners' concerns about data privacy will greatly hinder the development of related applications. [0003] At present, the privacy protection problem of time series data has not been well solved. The main reason is that time series...

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Application Information

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IPC IPC(8): G06F17/30G06F21/00G06F21/62
Inventor 陈珂寿黎但陈刚胡天磊尚璇
Owner ZHEJIANG UNIV
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