[Purpose/significance] Compared with the situation in which the probability of personal data leakage is 100 percent, the situation in which personal data is leaked with a certain probability is more common. Thus, this paper aims to measure users' personal data privacy value under the certain probability of privacy leakage, which puts forward a new perspective of privacy measurement and the measurement results are of practical significance to privacy classification protection.[Method/process] Based on the multiple price list, the user's return on financial risk is measured. Modified the implementation mechanism of multiple price list to elicit users' decisions between the risk-free scheme and the scheme with the probability of privacy leakage. Based on the above steps, value of privacy under leakage probability of users can be measured.[Result/conclusion] When the probability of privacy leakage is 30%, users' average VPLP in the social networks is about RMB 89.5; at the same time, when the probability of privacy leakage is 100%, users' average "willing to accept" and "willing to pay" of personal data in the social networks is about RMB 124.1 and RMB 93.8. Users' VPLP depends on the value of personal privacy itself and probability of privacy leakage.
Zhang Kailiang
,
Zang Guoquan
. Measurement of Personal Data Privacy in the Context of Probability of Leakage[J]. Library and Information Service, 2021
, 65(9)
: 62
-69
.
DOI: 10.13266/j.issn.0252-3116.2021.09.007
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