Fine-Grained Business Data Confidentiality Control in Cross-Organizational Tracking

Abstract

With the support of the Internet of Things (IoT for short) technologies, tracking systems are being widely deployed in many companies and organizations in order to provide more efficient and trustworthy delivery services. Such systems usually support easy-to-use interfaces, by which users can visualize the shipping status and progress of merchandise, according to business data which are collected directly from the merchandise through sensing technologies. However, these business data may include sensitive business information, which should be strongly protected in cross-organizational scenarios. Thus, it is critical for suppliers that the disclosure of such data to unauthorized users is prevented in the context of the open environment of these tracking systems. As business data from different suppliers and organizations are usually associated together with merchandise being shipped, it is also important to support fine-grained confidentiality control. In this paper, we articulate the problem of fine-grained business data confidentiality control in IoT-enabled cross-organizational tracking systems. We then propose a fine-grained confidentiality control mechanism, referred to as xCP-ABE, to address the problem in the context of open environment. The xCP-ABE mechanism is a novel framework which makes suppliers in tracking systems able to selectively authorize specific sets of users to access their sensitive business data and satisfies the confidentiality of transmission path of goods. We develop a prototype of the xCP-ABE mechanism, and then evaluate its performance. We also carry out a brief security analysis of our proposed mechanism. Our evaluation and analysis show that our framework is an effective and efficient solution to ensure the confidentiality of business data in cross-organizational tracking systems.