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Method And System For Anonymizing Data

An anonymization and data technology, which is used in digital data protection, electronic digital data processing, special data processing applications, etc.

Active Publication Date: 2015-06-24
IBM CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0010] 3) Popular multi-objective optimization strategies (such as dictionary methods, traditional weighting formulas, or Pareto optimal methods) are not suitable for these problems

Method used

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  • Method And System For Anonymizing Data

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Embodiment Construction

[0027] The present disclosure describes systems and methods for anonymizing data sets that include relational parts and sequence parts, where the sequence part may consist of data representing a "sequence of sequences." A "sequence of sequences" is a sequence that itself consists of a plurality of sequences. In the usual case, a sequence may only consist of a single event, for example, S=(a,b,c) for events "a", "b" and "c" (where "a", "b", "c " each of which is a sequence of single elements / events, not sequences).

[0028] In this disclosure, a domain generalization hierarchy need not be defined. Instead, the method employs both data generalization and data masking to hide sensitive information for a data table residing in a database management system (DBMS) as it respects existing attribute types (as defined in the original table ), while providing important benefits of data generalization.

[0029] That is, the systems and methods of the present disclosure are suitable fo...

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Abstract

A system, method and computer program product for anonymizing data. Datasets anonymized according to the method have a relational part having multiple tables of relational data, and a sequential part having tables of time-ordered data. The sequential part may include data representing a “sequences-of-sequences”. A “sequence-of-sequences” is a sequence which, itself, consists of a number of sequences. Each of these kinds of data may be anonymized using k-anonymization techniques and offers privacy protection to individuals or entities from attackers whose knowledge spans the two (or more) kinds of attribute data.

Description

technical field [0001] The present disclosure relates generally to anonymization of data, and more particularly to anonymization of data having relational and sequence data parts, which may be sequences of sequences. Background technique [0002] In recent years, people have been witnessing a data explosion: 90% of today's data has been generated in the past two years alone, where the amount of information available today can be estimated on the order of zettabytes. This data comes from deployed sensors, social networking sites, mobile phone apps, call detail records, electronic medical record (EMR) systems, e-commerce sites, and more. [0003] Analyzing this rich and massive amount of data offers significant opportunities for growth in the company's different business sectors, including, for example, healthcare, telecommunications, banking, and smarter city management, among many others. However, most of these datasets are proprietary and many contain personally and / or com...

Claims

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Application Information

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IPC IPC(8): G06F21/60G06F17/30
CPCG06F21/6227G06F21/6254
Inventor A·格考拉拉斯-迪瓦尼斯G·A·索特尔
Owner IBM CORP
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