Abstract: Incidents involving confidentiality and vigilance against user privacy invasions raise doubts as to current third-party data collection procedures. Personally identifiable information (PII) is being abused for medical data breaches, identity theft, spam, phishing, cyber spying, etc. A great amount of data is flowing from users to companies for prediction and analysis of data-centric markets. It is thus difficult to track PII flow and genuineness. Blockchain technology, which is an “immutable” distributed ledger, can efficiently track PII exchange, storing, and distribution. In contrast, the EU general data protection regulation (GDPR) in progress claims “a right to forget” and a right “to delete”. However, the present specification proposes an off-chain blockchain architecture using both a local database and a distributed ledger to guarantee a trustable PII life cycle.

Abstract: Big data analytics is being used by many market participants. PII (Personally Identifiable Information) (e.g., age, race, social security number, address, etc.) plays a vital role in providing user-centric services. Many IT companies collect, store and process PII of their customers by means of various mobile applications. The example embodiments may explain how collective permission gathering through multiple Android applications by same publishers can disclose user's PII by using two new PII risk factors, and determine total risk factor for PII.

Abstract: Big data analytics is being used by many market participants. PII (Personally Identifiable Information) (e.g., age, race, social security number, address, etc.) plays a vital role in providing user-centric services. Many IT companies collect, store and process PII of their customers by means of various mobile applications. The example embodiments may explain how collective permission gathering through multiple Android applications by same publishers can disclose user's PII by using two new PII risk factors, and determine total risk factor for PII.