CRCYMay 19, 2016

Privacy-Related Consequences of Turkish Citizen Database Leak

arXiv:1605.05847v11 citations
Originality Synthesis-oriented
AI Analysis

This highlights a serious privacy and security threat for Turkish citizens due to data leaks, though it is incremental in applying known deanonymization techniques to a new dataset.

The study analyzed the Turkish citizen database leak, revealing that automated processing could uniquely identify mother's maiden names and landline numbers for a significant portion of the 50 million affected individuals, increasing identity theft and scam risks.

Personal data is collected and stored more than ever by the governments and companies in the digital age. Even though the data is only released after anonymization, deanonymization is possible by joining different datasets. This puts the privacy of individuals in jeopardy. Furthermore, data leaks can unveil personal identifiers of individuals when security is breached. Processing the leaked dataset can provide even more information than what is visible to naked eye. In this work, we report the results of our analyses on the recent "Turkish citizen database leak", which revealed the national identifier numbers of close to fifty million voters, along with personal information such as date of birth, birth place, and full address. We show that with automated processing of the data, one can uniquely identify (i) mother's maiden name of individuals and (ii) landline numbers, for a significant portion of people. This is a serious privacy and security threat because (i) identity theft risk is now higher, and (ii) scammers are able to access more information about individuals. The only and utmost goal of this work is to point out to the security risks and suggest stricter measures to related companies and agencies to protect the security and privacy of individuals.

Foundations

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