<i>SoundUAV</i>

Ramesh, S; Pathier, Thomas; Han, Jun

doi:10.1145/3325421.3329768

Cited by 16 publications

(3 citation statements)

References 8 publications

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“…Security research focused on delivery drones has mainly considered reliable package delivery. Here, prior work has focused on methods to mutually authenticate delivery drones and intended recipients, for example, using the sound signature of the drone [79]. Researchers have also developed methods to ensure that delivery drones are not sabotaged in-flight, by developing methods to detect and avoid projectiles thrown at them [49].…”

Section: Related Workmentioning

confidence: 99%

Privadome: Delivery Drones and Citizen Privacy

Pillai,

Suresh,

Gupta

et al. 2024

PoPETs

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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. This paper presents 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 citizen’s 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.

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Section: Related Workmentioning

confidence: 99%

Privadome: Delivery Drones and Citizen Privacy

Pillai,

Suresh,

Gupta

et al. 2024

PoPETs

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“…In [ 5 ], the author proposed a drone delivery authentication process based on acoustic noise fingerprinting. In this work, the author highlighted the differences in acoustic noise characteristics in motors due to manufacturing defects for drone identification.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Nowadays, the adoption of drones for fast and cost-effective parcel delivery is escalating. The giant companies like Google, Amazon, Facebook, DHL, etc., are actively working on developing, testing, and improving drone-based delivery systems to circumvent the security, privacy, and efficiency constraints [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service

et al. 2021

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The thriving adoption of drones for delivering parcels, packages, medicines, etc., is surging with time. The application of drones for delivery services results in faster delivery, fuel-saving, and less energy consumption. Giant companies like Google, Amazon, Facebook, etc., are actively working on developing, testing, and improving drone-based delivery systems. So far, a lot of work has been done for improving the design, speed, operating range, security of the delivery drones, etc. However, very limited work has been done to ensure a complete and reliable last-mile delivery from the merchant’s store to the hands of the actual customer. To ensure a complete and reliable last-mile delivery, a drone must authenticate the consumer before dropping the package. Therefore, in this work, we propose a consumer authentication (Consumer-Auth) hybrid computing framework for drone delivery as a service to make sure that the parcel is perfectly delivered to the intended customer. The proposed Consumer-Auth framework enables a drone to reach the exact destination by using the GPS coordinates of the customer autonomously. After reaching the exact location, the drone waits for the customer to come to the specific pinned location then it starts a two-factor consumer authentication process, i.e., one-time password (OTP) verification and face Recognition. The experimental results manifest the effectiveness of the proposed Consumer-Auth framework to ensure a complete and reliable drone-based last-mile delivery.

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Unmanned Aerial Vehicles’ Remote Identification: A Tutorial and Survey

et al. 2022

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UAV remote identification is an emerging technology that allows ground observers to identify a drone in the airspace and obtain information about it and its operator. The goal is to enhance safe operation over people and at night and protect public privacy. Two modes are known for remote identification: broadcast-based and network-based. Although the technical implementation of both modes seems to be straightforward, remote identification is challenging because it includes multiple agents that follow different interests such as safety, security, privacy, and businesses. Currently, enormous efforts for regulation, standardization, design, implementation, and testing are being made to put this technology forward. This paper aims to outline the landscape of these activities as a survey and tutorial to inform regulators, standardization organizations, industry, and researchers about the state of the art in this technology and to highlight its opportunities and challenges.

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SoundUAV

Cited by 16 publications

References 8 publications

Privadome: Delivery Drones and Citizen Privacy

Privadome: Delivery Drones and Citizen Privacy

A decentralized hybrid computing consumer authentication framework for a reliable drone delivery as a service

Unmanned Aerial Vehicles’ Remote Identification: A Tutorial and Survey

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