Privacy preserving products tracking in clustered supply chain

One of the main applications of supply chain management is product tracking. We define it as tracing the product path along the supply chain. In this paper, we propose a solution to track the product while preserving the privacy of the supply chain actors involved and the path traced. More precisely, this solution allows to identify which path a product has taken in the supply chain, without disclosing sensitive information. To allow product tracking, the product are attached to a sensor node. This latter stores a trace of the product path along the supply chain. The trace is computed using polynomial based signature techniques. We restrict the visibility of the manager of the supply chain by organizing the supply chain facilities into clusters. Also, we encrypt the path traces to ensure security against adversaries. To perform access control in the sensor nodes we use randomized Rabin scheme which is known for being efficient and lightweight. In this paper, sensor nodes are not required to perform heavy computation, which makes our solution feasible. The main achievement of this work is a cryptographic mechanism that allows to the supply chain manager to trace the supply chain entities that product went through, without disclosing the identity of those entities.