Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security

Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of electronic devices deployed across a diverse array of sectors and industries in recent years. Novel concepts have been introduced to captivate the interest of investors, businesses, and service providers. Notwithstanding their extensive utilization, security breaches and attacks on these devices and their associated networks persist. Researchers are now delving into the development of techniques aimed at countering these threats and bolstering drone security. Building on this impetus, this systematic review proffers a range of counter-attack strategies contingent on intelligent methodologies and diverse techniques. Moreover, the study delves into the intricacies of counter-attack methods, their amalgamation with algorithms, and integration with machine-learning languages. Furthermore, the paper delineates forthcoming avenues for preempting various incursions on UAVs-based systems.