• Aishwarya Jadhav
• Prof. M. A. Wakchaure

Truth is most often used to mean being in accord with reality. It is very important that data which are collected from different user is real data/truthful data. There are several fields were present from which the data is get emerged for the purpose of society’s need. Ensuring data truthfulness and protecting the privacies of data contributors are both important to the long term healthy development of data markets. On one hand, the ultimate goal of the service provider in a data market is to maximize their profit. Yet, to reduce operation cost, a strategic service provider may provide data services based on the whole raw data set, or even return a fake result without processing the data from designated data sources. In here, TPDM is been introduced, that with efficiency integrates honesties and privacy preservation in knowledge market. TPDM is structured internally in associate degree homomorphism encryption-decryption mechanism, using partially homomorphic encryption and identity-based signature for providing the security. Also at the same the mechanism time facilitates the batch verification, data processing, and outcome verification, while maintaining identity preservation and data confidentiality.

Truthful and untruthful data, TPDM, Data confidentiality, Homomorphic encryption

"Preserving data privacy in data market and obtain truthful data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.668-675, June 2019, Available :http://www.jetir.org/papers/JETIR1906L99.pdf

"Preserving data privacy in data market and obtain truthful data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp668-675, June 2019, Available at : http://www.jetir.org/papers/JETIR1906L99.pdf