System for Anonymous Data Collection Based on Group Signature Scheme

Abstract

This paper deals with an anonymous data collection in the Internet of Things (IoT). The privacy and anonymity of the data source is important for many IoT applications, such as in agriculture, health, and automotive. The proposed data-collection system provides anonymity for the data sources by applying a cooperation group scheme. The group scheme also provides a low power consumption. The system is built upon the Tor (The Onion Router) anonymous network, which is a part of the Internet darknet. The proposed system was designed for the Android devices on the client side and for Java environment on the server side. We evaluated the anonymous data collection in a real-use scenario that covers selected data acquisition (e.g. signal strength) from smartphones triggered by their geographical location change. The results show that the proposed system provides the sufficient data source anonymity, an effective revocation, a low computational cost and a low overhead.This paper deals with an anonymous data collection in the Internet of Things (IoT). The privacy and anonymity of the data source is important for many IoT applications, such as in agriculture, health, and automotive. The proposed data-collection system provides anonymity for the data sources by applying a cooperation group scheme. The group scheme also provides a low power consumption. The system is built upon the Tor (The Onion Router) anonymous network, which is a part of the Internet darknet. The proposed system was designed for the Android devices on the client side and for Java environment on the server side. We evaluated the anonymous data collection in a real-use scenario that covers selected data acquisition (e.g. signal strength) from smartphones triggered by their geographical location change. The results show that the proposed system provides the sufficient data source anonymity, an effective revocation, a low computational cost and a low overhead.