Methodology:
Among many big data sources, Online Social Networks (OSNs) contribute
considerable amount of data[7]. Although the massive social data
offer valuable merits, they raise strong privacy concerns. Some of
generic privacy concerns will be revealed from the given scenarios below
with illustrated specific examples in social networks and other emerging
technologies.
Scenario 1 : Privacy-preserving big social network data
publishing
Scenario 2 : Secure Private Outsourced Data Search
Scenario 3 : Privacy-preserving learning over outsourced data
Scenario 4 : Privacy-preserving collaborative learning with
secure aggregation
Scenario 5 : Privacy-preserving model evaluating
In these scenarios they talk about privacy preserving mechanisms.
Privacy is needed in data when the data is not wanted to be disclosed to
every other person when there’s some sensitive data privacy is used. The
privacy can be needed by individual or groups. Encrypted or cryptography
are some introduced techniques are used for privacy of data.