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Privadome: A System for Citizen Privacy in the Delivery Drone Era

Series: M.Tech (Research) Colloquium

Speaker: Gokulnath Pillai M.Tech (Research) student Dept. of CSA

Date/Time: Feb 15 11:00:00

Location: CSA Seminar Hall (Room No. 254, First Floor)

Faculty Advisor: Prof. Vinod Ganapathy

Abstract:
E-commerce companies are actively considering the use of delivery
drones for customer fulfillment, leading to growing concerns around
citizen privacy. Drones are equipped with cameras, and the video feed
from these cameras is often required as part of routine navigation, be
it for semi-autonomous or fully-autonomous drones. Footage of ground
based citizens captured in these videos may lead to privacy concerns.
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This M.Tech. (Research) thesis presents the design, implementation and
evaluation of Privadome, a system that implements the vision of a
virtual privacy dome centered around the citizen. Privadome is designed
to be integrated with city-scale regulatory authorities that oversee
delivery drone operations and realizes this vision through two
components, Pd-Mpc and Pd-Ros. Pd-Mpc allows citizens equipped with a
mobile device to identify drones that have captured their footage. It
uses secure two-party computation to achieve this goal without
compromising the privacy of the citizens location. Pd-Ros allows the
citizen to communicate with such drones and obtain an audit trail
showing how the drone uses their footage and determine if privacy-
preserving steps are taken to sanitize the footage. An experimental
evaluation of Privadome shows that the system scales to near-term city-
scale delivery drone deployments (hundreds of drones). We show that
with Pd-Mpc the mobile data usage on the citizens mobile device is
comparable to that of routine activities on the device, such as
streaming videos. We also show that the workflow of Pd-Ros consumes a
modest amount of additional CPU resources and power on our experimental
platform.