Enhanced Privacy Preservation Using Anonymization in IOT-Enabled Smart Homes

Abstract

Nowadays, Internet of Things (IOT) attracted researchers due to its smart features. Idea of IOT is to serve best to system users. Data get stored on things, locally on devices and on cloud. Security is the major issue here due to the nature of cloud computing, which opens challenges to researchers. Privacy preserving is a major issue in such things due to cloud services. In this paper, we articulate how Internet of Things works with cloud and discusses challenges of privacy issues in IOT. It also throws light on how IOT is best suited for home automation and work on its main pitfall that is security for smart things. Out paper mainly focuses on privacy preservation challenges and ways to overcome it. However, IOT eliminates person to machine interaction and makes system smart with device-to-device interaction, privacy of this interaction is still not completely guaranteed. Based on this concept, we have designed a software framework, which works in three ways as: privacy preservation, automation, and then fault reporting. Privacy would be provided using the concept of tokenization for anonymity because currently anonymity of users is not preserved by communication technologies. This software framework is evaluated by some case studies and with reference to previous researches. Results of this work surely intercalate new concept in an area of cloud security and Internet of Things, which would provide future research directions.