Towards Privacy Preservation in Internet of Drones

Abstract

the internet of drones (IoD) sensors collect sensitive and private data that can have adverse consequences if captured by adversaries. To address this issue, many authentication and key agreement protocols have been introduced in literature. However, most of these schemes fail to protect the exchanged data against most common IoD attack models or experience high computation, storage and communication overheads. As such, the provision of robust privacy and security at relatively low computation, storage and communication overheads is still an open challenge. In this paper, a privacy and security preservation protocol is developed. Formal security analysis using the Burrows-Abadi-Needham (BAN) logic proves that it offers secure mutual authentication among the IoD entities. It also provides user anonymity and untraceability in addition to being resilient against Man-in-the-Middle (MitM), packet replay and impersonation attacks. Moreover, it experiences the lowest communication and computation costs among its peers.