Cyber Security issues and Blockchain-Deep Learning based solutions for UAV and Internet of Drones (FANETs)

TL;DR

This paper explores cybersecurity challenges in UAV and FANETs, proposing blockchain and deep learning solutions to enhance sensor data trustworthiness in safety-critical systems.

Contribution

It introduces novel blockchain-deep learning integrated approaches specifically designed to improve sensor data security in UAV networks.

Findings

Enhanced attack resilience of sensors demonstrated

Blockchain ensures data integrity and traceability

Deep learning models improve anomaly detection

Abstract

Safety-critical systems such as automated embedded or industrial systems have a strong dependency on the trustworthiness of data collection. As sensors are the critical component for those systems, it is imperative to address the attack resilience of sensors