A Review of Cyber Security Challenges and Solutions in Unmanned Aerial Vehicles (UAVs)

Abstract

The widespread use of unmanned aerial vehicles in a variety of sectors poses major challenges to these issues of cyber security and data protection. In this paper, a detailed study of the security vulnerabilities in UAV-based systems was conducted and analytically categorized into three types: Software, hardware and communication links. These vulnerabilities include access rights without authentication, control channel tampering, data breaches and spoofing of the global positioning system. These vulnerabilities jeopardize the security, integrity of the data and privacy of not only the drone but also the users. The study analyzes some of the security protocols that aim to mitigate these risks. They range from advanced encryption techniques to authentication mechanisms and intrusion detection systems that can use classification models based on machine learning. The study also provides a context in which emerging technologies such as blockchain, machine learning and deep learning can make a greater contribution to securing drones. The detailed and in-depth discussion on the development of the security solution that the work provides emphasizes the importance of securing UAV operations and their data integrity aspects alongside securing public trust for autonomous systems.