Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박용수 | - |
dc.date.accessioned | 2016-11-03T01:15:49Z | - |
dc.date.available | 2016-11-03T01:15:49Z | - |
dc.date.issued | 2015-04 | - |
dc.identifier.citation | IEICE TRANSACTIONS ON COMMUNICATIONS, v. E98B, NO 4, Page. 565-574 | en_US |
dc.identifier.issn | 0916-8516 | - |
dc.identifier.issn | 1745-1345 | - |
dc.identifier.uri | https://www.jstage.jst.go.jp/article/transcom/E98.B/4/E98.B_565/_article | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/24122 | - |
dc.description.abstract | People expose their personal information on social network services (SNSs). This paper warns of the dangers of this practice by way of an example. We show that the residence registration numbers (RRNs) of many Koreans, which are very important and confidential personal information analogous to social security numbers in the United States, can be estimated solely from the information that they have made open to the public. In our study, we utilized machine learning algorithms to infer information that was then used to extract a part of the RRNs. Consequently, we were able to extract 45.5% of SNS users' RRNs using a machine learning algorithm and brute-force search that did not consume exorbitant amounts of resources. | en_US |
dc.description.sponsorship | This work was supported by the IT R&D program of MSIP/IITP [No. 10047212, Development of homomorphic encryption supporting arithmetics on ciphertexts of size less than 1 kB and its applications]. Also, This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2011754). | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | en_US |
dc.subject | personal data security | en_US |
dc.subject | SNS security | en_US |
dc.subject | Korean residence registration number | en_US |
dc.subject | data estimation | en_US |
dc.subject | security | en_US |
dc.title | Estimating Korean Residence Registration Numbers from Public Information on SNS | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | E98B | - |
dc.identifier.doi | 10.1587/transcom.E98.B.565 | - |
dc.relation.page | 565-574 | - |
dc.relation.journal | IEICE TRANSACTIONS ON COMMUNICATIONS | - |
dc.contributor.googleauthor | Choi, Daeseon | - |
dc.contributor.googleauthor | Lee, Younho | - |
dc.contributor.googleauthor | Park, Yongsu | - |
dc.contributor.googleauthor | Kim, Seokhyun | - |
dc.relation.code | 2015002536 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | yongsu | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.