Privaros: A Framework for Privacy-Compliant Delivery Drones

Author:

Beck Rakesh Rajan1,Vijeev Abhishek1,Ganapathy Vinod1

Affiliation:

1. Indian Institute of Science, Bangalore, India

Publisher

ACM

Reference96 articles.

1. Apex AI. Performance Test. https://gitlab.com/ApexAI/performance_test/. Apex AI. Performance Test. https://gitlab.com/ApexAI/performance_test/.

2. AppArmor--an effective and easy-to-use Linux application security system. https://gitlab.com/apparmor/apparmor/wikis/home/. AppArmor--an effective and easy-to-use Linux application security system. https://gitlab.com/apparmor/apparmor/wikis/home/.

3. Ardupilot Autopilot Software. https://ardupilot.org/. Ardupilot Autopilot Software. https://ardupilot.org/.

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2. No-Fly-Zone: Regulating Drone Fly-Overs Via Government and User-Controlled Authorization Zones;Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing;2023-10-16

3. Security and privacy risks in drone-based last mile delivery;European Journal of Information Systems;2023-05-17

4. A Review on Security Issues and Solutions of the Internet of Drones;IEEE Open Journal of the Computer Society;2022

5. HEDrone: Privacy-Preserving Proof-of-Alibi for Drone Compliance Based on Homomorphic Encryption;Security, Privacy, and Applied Cryptography Engineering;2020

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