Jan 20, 2017 · We fulfill that long identified need by presenting two metrics, an approximate and a more exact one, for measuring anonymity in pseudonymized ...
: MEASURING ANONYMITY OF PSEUDONYMIZED DATA AFTER PROBABILISTIC BACKGROUND ATTACKS. 1161 to be representing Brad and Claudia, each with a probability of 1/3 ...
Abstract—There is clear demand among organizations for sharing their data for mining and other purposes without com- promising the privacy of individual ...
We fulfill that long identified need by presenting two metrics, an approximate and a more exact one, for measuring anonymity in pseudonymized data in the wake ...
Measuring Anonymity of Pseudonymized Data After Probabilistic Background Attacks · Pseudonymized Data Sharing · Measuring Anonymity: The Disclosure Attack.
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Jul 27, 2011 · A system-wide anonymity metric with message multiplicities · Measuring Anonymity of Pseudonymized Data After Probabilistic Background Attacks.
Measuring Anonymity of Pseudonymized Data after Probabilistic Background Attacks. ... Effectiveness of Probabilistic Attacks on Anonymity of Users Communicating ...
Mar 11, 2024 · Focusing on strong anonymization mechanisms, this paper examines a number of prominent attack papers and finds several problems, all of which ...
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A more accurate measure of anonymity after an attack is given by the collective closeness of matchings of the anonymity set to the exact matching deployed ...
Rajiv Bagai, Nafia Malik, and Murtuza Jadliwala, "Measuring Anonymity of Pseudonymized Data after Probabilistic Background Attacks", IEEE Transactions on ...