Abstract
Ensuring the authenticity and integrity of the sensing data that are stored in a third-party cloud is a crucial task for the correctness and safety of many IoT applications. Although verifiable data outsourcing has been studied for over a decade, current solutions are not fully suitable for IoT systems, due to the hardware constraints, deployment features, and application requirements of IoT. This paper presents VERID, a verifiable data management system designed for IoT applications. VERID enables important ranged selection and aggregate queries of sensing data while imposing minimal overhead for resource-constraint IoT devices. Our important innovation is a computational and space-efficient authentication data structure called PrefixMHT which fits into resource-constrained IoT devices and supports both range and aggregate queries. We design a new signature aggregation scheme called Condensed Bilinear Pairing to further improve the efficiency. The experiments using real IoT datasets show that VERID is able to provide authenticity, integrity, and completeness of data queries while achieving substantial advantages in computation, memory, and communication efficiency than possible methods.
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