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Privacy-Preserving Techniques for Drone Surveillance Systems
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Author(s): Parvesh Tanwar (Galgotias University, India), Indervati Dikshit (Galgotias University, India), Richa Kumari (Galgotias University, India), Arvind Panwar (Galgotias University, India), Suman Mann (Panipat Institute of Engineering and Technology, India)and Urvashi Sugandh (Bennett University, India)
Copyright: 2026
Pages: 24
Source title:
Enhancing Surveillance With Blockchain and IoT Drone Technology
Source Author(s)/Editor(s): Shakir Khan (Imam Mohammad Ibn Saud Islamic University, Saudi Arabia), Hadeel Alsolai (Princess Nourah bint Abdulrahman University, Saudi Arabia), Arvind Panwar (Galgotias University, India)and Vishal Jain (School of Engineering and Technology, Vivekananda Institute of Professional Studies, New Delhi, India)
DOI: 10.4018/979-8-3373-4277-1.ch016
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Abstract
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.
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