Privacy-Preserving Techniques for Drone Surveillance Systems

Drones are widely used in modern surveillance for urban surveillance, disaster response and border patrolling. But the data they are collecting is chock-full of private and personal information and may be at risk for hacking or misuse. This information has to defend itself, but at the same time must also let drones perform effectively. We present some privacy-preserving solutions based on the mention's paradigm including encryption, data anode edge computing and storage with blockchain. It further describes sufficiently fencing these mechanisms to ensure that surveillance data remains secure, trustable and tamper evident. Maintaining the privacy of an individual yet achieving effective surveillance is a challenge, and in some work (using drones with IOT and blockchain). The chapter also considers the available challenges.