This paper outlines statistical publishing of
real time data with strong protection. A person has
sensitive, non-sensitive data which needs protection
when publishing it to public. For example health data, it
includes disease nature, health condition, medicine
prescription, patient name and details these are
sensitive data which may be leaked when publishing. In
this, certain techniques are applied when transmitting
to public here introduces distributors and agents.
Propose a privacy preserving framework called privacy
preserving distributed agent P2DA. Various techniques
are included for prevent information loss they are levelbased, multi-set generalization, K-anonymity.
Keywords : Differential Privacy, Level-Based, Multi-Set Generalization, K-Anonymity, Data Publishing.