A Privacy Preserving Framework For Analyzing Auctioning Information In Cloud Computing

Cloud Computing has become a main source for data security, data storage and data privacy .Data stored over the cloud to get useful information and analysis. while performing the data mining techniques on large set of data there are chance to misuse of information ,loss of information and insecurity of stored data. So use the efficient data mining techniques such as K anonymity ,L diversity and T closeness that preserve privacy of sensitive data .In this paper we consider how to perform privacy preserving auctions in cloud that do not leak any information and auction result to anyone. Our main aim of privacy preserving techniques is maximize the efficiency and low computation with minimum information loss. But some problems are create in VOIP system like spam calls. Attackers are hack the numbers and get all details, security etc. In this paper, various methods for security and unsolicited calls referred as pam over VOIP to detection and prevention of unsolicited calls using call parameters.