11Algorithms to Mitigate Cyber Security Threats by Employing Intelligent Machine Learning Models in the Design of IoT-Aided Drones
Devee Siva Prasad1, Pyla Jyothi2, G. Suryanarayana3* and Sachi Nandan Mohanty4
1 Computer Science and Engineering, BABA Institute of Technology and Sciences (NR), Visakhapatnam, Andhra Pradesh, India
2 Computer Science & Engineering, Vignan’s Institute of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
3 Computer Science & Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India
4 School of Computer Science & Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, India
Abstract
Innovative and emerging technologies such as artificial intelligence, blockchain, business applications, cyber security, drones, and IoT have long helped organizations solve business problems and be more efficient, productive, and profitable. Developments in drones have opened new developments and possibilities in one-of-a-kind fields, especially in small drones [32, 33, 38]. Drones offer interlocution offerings for navigation, and this interlink is supplied via way of means of the Internet of Things (IoT). However, architectural problems make drone networks prone to privateness and protection threats. It is vital to offer a secure and stable community to collect preferred performance. Small drones are locating new paths for development within side the civil and protection industries [42, 44], however additionally posing new demanding situations ...
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