منابع مشابه
A Theoretical Comparison of Data Masking Techniques for Numerical Microdata
In this study, we perform a comprehensive theoretical evaluation of masking techniques for numerical microdata. The objective of this comparison is to establish the extent to which existing techniques can satisfy disclosure risk, data utility, ease of implementation, and ease of use requirements. This evaluation allows data providers to select from these techniques to account for the demands of...
متن کاملthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
On the Comparison of Innovative Perturbative Masking Technique and Existing Perturbative Masking Techniques
Abstract— The increasing facility to track and collect large amounts of data with the use of this has led to an interest in the development of data mining algorithms which preserve user privacy. With the growth of data analysis and processing technique, the privacy disclosure problem about individual or company is inevitably exposed when releasing or sharing data to mine useful decision informa...
متن کاملData Masking: A New Approach for Steganography?
It is well known that encryption provides secure channels for communicating entities. However, due to lack of covertness on these channels, an eavesdropper can identify encrypted streams through statistical tests and capture them for further cryptanalysis. Hence, the communicating entities can use steganography to achieve covertness. In this paper we propose a new form of multimedia steganograp...
متن کاملData masking for privacy-sensitive learning
We study the problem of data release with privacy, where data is made available with privacy guarantees while keeping the usability of the data as high as possible. This is important in healthcare and other domains with sensitive data. In particular, we propose a method of masking sensitive parts of private data while ensuring that a learner trained using the masked data is similar to the learn...
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ژورنال
عنوان ژورنال: International Journal of Technical Research & Science
سال: 2019
ISSN: 2454-2024
DOI: 10.30780/ijtrs.v04.i08.003