SS4IoT: Secure Search Over Encrypted Outsourced IoT Data

Abstract

The Internet of Things (IoT) is becoming increasingly popular, with estimates suggesting that by2050, more than 100 billion devices will have the ability to connect to the Internet. Since sensor data makes up the majority of the Io$\mathrm{T}'$s data, it is necessary to have large data handling capabilities. Sensor data might be unreliable due to measurement limitations, data update delays, and/or the requirement to protect data privacy. As a result, maintaining the privacy of data acquired from IoT devices that are sent to the cloud for analysis and storage is a major concern. Homomorphic encryption (HOM) is a potential solution for searching encrypted data stored in the cloud. We propose SS4IoT, a new secure search system for IoT data in the cloud. To encrypt data provided by data owners, we employ homomorphic and Order-Preserving Encryption (OPE). Our solution aims at protecting the dataset's privacy while also improving the efficiency of querying encrypted datasets. We also show the capacity of our approach to protect data and query privacy, as well as assess its effectiveness.