AI-Powered Defense Mechanisms for Securing Autonomous Drones Against Cyber Threats
Keywords:
autonomous drones, AI-powered defense, machine learning, cyber threatsAbstract
The use of autonomous drones has increased significantly in various sectors, including military, agriculture, and delivery services. However, their growing reliance on digital communication and autonomous decision-making makes them susceptible to cyber threats, which can lead to severe consequences such as data breaches, hijacking, or system malfunctions. This paper explores the integration of artificial intelligence (AI) into defense mechanisms designed to secure autonomous drones from evolving cyber threats. It examines the application of machine learning models for anomaly detection, intrusion prevention systems (IPS), and real-time threat intelligence to enhance drone security. The paper also discusses the challenges of implementing AI-powered solutions in drones, focusing on performance, resource constraints, and adaptive capabilities. Through a review of current research and case studies, this paper outlines the effectiveness of AI-based defense strategies and provides recommendations for future advancements in autonomous drone security.
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