Data Anonymization for Privacy Protection in Fog-Enhanced Smart Homes

Abstract

Smart homes are revolutionizing lives of their residents in multiple ways. Benefits range from bringing convenience in day to day life, optimization of decision processes to use of their data for analytics by businesses. However, privacy threats are inevitable when individual data is shared publicly. This paper presents architecture of a fog enhanced smart home environment for preserving privacy of individuals when data from their smart homes is shared with third parties. A km data anonymization technique is employed for preventing privacy breaches of individuals. The proposed architecture and technique are evaluated on a real world data set and results indicate their effectiveness in privacy preservation.