Autonomous drones, known as AI drones, have been working without human intervention. It is doing something like navigation, avoiding obstacles, and taking picture recognition without explicit human direction, thanks to AI technology. It's an advantage of AI-based drones that they are capable of flying without human intervention. This can be used for missions such as monitoring searches and rescue operations in remote areas where human lives are at risk. Because of their sophisticated cameras and detectors, AI-based drones are able to collect and analyze large amounts of data in real-time. With this data, comprehensive maps may be made, locations of interest can be found, and the situational awareness of human operators can be improved. These days, the concept of a “smart city” intrigues everyone. Advanced technologies such as AI, blockchain, the IoT, drones, and many more are integrated.
Top1. Introduction
Smart city integration of AI-based drones has many advantages, including improved infrastructure monitoring, emergency response, and surveillance. However, using these drones also raises several security issues requiring careful attention. Artificial intelligence is one of the most rapidly developing and commonly used technologies in the modern era. AI uses simulations of human brain activity to address practical issues. Robots, smart cars, prediction, e-commerce, navigation, human resources, and healthcare are a few examples of applications for AI farming, video games, cars, social networking, and marketing. Security is a crucial concern (Alsamhi, S., 2018). Issues affecting individuals, groups, or societies are handled with synthetic intelligence. AI security is using artificial intelligence in tools and procedures (Alsamhi, S.; Rajput, N., 2016). They use AI to recognize and react to potential cyber threats based on similarities. AI and machine learning can assist in keeping up with cyber criminals, automating threat detection, and responding more efficiently than traditional software-driven or manual techniques in the face of cyberattacks and the exponential growth of devices today (Alsamhi, S.H., 2018; Al-Hourani, A., 2017). This is an intriguing area where AI can compete. The usage of AI extends beyond the previously mentioned application areas. One of the technologies that works best for managing smart cities is AI. Numerous publications in the same field have highlighted the importance of AI for smart cities. AI applications for smart cities include identity management, smart traffic, smart grid, precision farming, and smart healthcare. Appropriately and successfully using AI-based drones in smart cities depends on addressing these security issues (Alzenad, M., 2020). A comprehensive approach combining technology, legislation, and public awareness is required to ensure that the advantages of drone technology are achieved while reducing associated risks. An overview of the public safety network is in Figure 1.
Figure 1. Overview of Public Safety Network adopted from Tomasino 35 al. (2017)
Wearable technology cannot transmit data long distances due to its low transmission power. However, drone technology can provide real-time services over a vast geographic area (B. Bera et al., 2020). Drone technology is the most affordable and effective means to track down a fleeing criminal, locate a missing person, and examine a disaster site.
The chapter will focus on the following points
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This chapter focused on drone technology.
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This chapter focused on drones and smart cities.
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This chapter focused on the Security Concerns of using drones in smart cities.
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This chapter discusses the privacy violation of drones.
Top2. Literature Review
AI-powered drones are becoming a bigger and bigger component of smart city ecosystems. They offer the capacity to gather data in real time, keep an eye on infrastructure, and respond swiftly to emergencies. Thanks to advanced AI algorithms, these drones can perform tasks independently, which makes them perfect for use by law enforcement, emergency response teams, and urban planners. Drones powered by AI and integrated into smart cities have the potential to transform many aspects of urban life, including infrastructure management and emergency response (A. Brokaw, 2016). These drones employ artificial intelligence to enhance data collection, decision-making, and surveillance procedures. The deployment of smart cities also presents a number of security challenges and difficulties that must be properly addressed in order to protect the privacy and security of their inhabitants. Here's a summary of the challenges and security risks associated with employing AI-powered drones in smart cities.