AIDA : Minimizing Communication Overhead And Enhance Privacy of Shared Data

Abstract

An algorithm for anonymous sharing of private data among parties is developed. Top-down refinement masks a given table to satisfy broad range of anonymity requirements without sacrificing significantly the usefulness to classification .This assignment is anonymous in that the identities received are unknown to the other members of the group. Top-down Refinement is much more efficient than previously reported approaches, particularly the secure sum algorithm.

Authors and Affiliations

G Govardhani, D Srinivas

Keywords

Related Articles

Mobile Banking Services on Data Protection Analysis In Networking

Mobile banking operations is one of the popular business application areas. Several applications are developed to support bank focused application such as internet banking and mobile banking applications. In this proj...

A Novel Symmetric Key Cryptography Algorithm for Improving Privacy of Data in Cloud Servers

In this paper, a cryptography technique, Novel Symmetric Key Cryptography algorithm is used to improve the data security and access control in the environment of Cloud Computing. The users upload the personal data ov...

Resource & Quality Awareness Algorithm for Location Based Wireless Sensor Networks

Location monitoring refers to the system where the wireless sensor network odes counts the number of sensors which are capable of detecting the objects present in their sensing areas. Third party always monitor the pe...

A Secured Dynamic Location Monitoring System in WSN

Wireless sensor network is broadly spreading network of the communication field. Wireless sensor network is having sensor nodes as sensing devices which sense physical or environmental conditions and a sink node is t...

Dynamic ModelingAnd Control Of Wind/Pv/Battery Sources Integrated For Distributed Energy Production

This paper proposes a cross breed vitality framework comprising of wind, photovoltaic and energy component. Battery stockpiling is intended to supply persistent force and to give the deficiency power when the joined...

Download PDF file
  • EP ID EP28040
  • DOI -
  • Views 265
  • Downloads 0

How To Cite

G Govardhani, D Srinivas (2014). AIDA : Minimizing Communication Overhead And Enhance Privacy of Shared Data. International Journal of Research in Computer and Communication Technology, 3(10), -. https://europub.co.uk/articles/-A-28040