AIoT应用中的隐私保护周期频繁模式模型

2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI:10.1109/ISPACS51563.2021.9651132

Usman Ahmed, Chun-Wei Lin, Philippe Fournier-Viger, Chien-Fu Cheng

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引用次数: 1

摘要

在本研究中，我们从隐藏敏感的周期性频繁模式的消毒策略开始。所开发的方法使用Term Frequency和Inverse Document Frequency (TF-IDF)来确定哪些事务和对象应该基于用户定义的敏感周期频繁模式进行清理。使用所设计的方法，可以正确和适当地选择事务数据库中的受害项目进行数据清理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Privacy-Preserving Periodic Frequent Pattern Model in AIoT Applications

We begin with a sanitization strategy for concealing sensitive periodic frequent patterns in this study. The developed method employs the Term Frequency and Inverse Document Frequency (TF-IDF) to determine which transactions and objects should be sanitized based on user-defined sensitive periodic frequent patterns. Using the designed approach, it is possible to correctly and properly choose victim items in the transactional database for data sanitization.

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来源期刊

2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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