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http://dx.doi.org/10.13089/JKIISC.2018.28.3.665

Analysis of Privacy Violation Possibility of Partially Anonymized Big Data  

Jung, Kang-soo (Soagang University)
Park, Seog (Soagang University)
Choi, Dae-seon (Kongju University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.28, no.3, 2018 , pp. 665-679 More about this Journal
Abstract
With the development of information and communication technology, especially wireless Internet technology and the spread of smart phones, digital data has increased. As a result, privacy issues which concerns about exposure of personal sensitive information are increasing. In this paper, we analyze the privacy vulnerability of online big data in domestic internet environment, especially focusing on portal service, and propose a measure to evaluate the possibility of privacy violation. For this purpose, we collected about 50 million user posts from the potal service contents and extracted the personal information. we find that potal service user can be identified by the extracted personal information even though the user id is partially anonymized. In addition, we proposed a risk measurement evaluation method that reflects the possibility of personal information linkage between service using partial anonymized ID and personal information exposure level.
Keywords
Privacy analysis; Anonymization; Data crawling; Inference attack;
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Times Cited By KSCI : 1  (Citation Analysis)
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