IoT-based Cyber-security of Drones using the Naïve Bayes Algorithm
| Autor: | Muhammad Faheem Mushtaq, Rizwan Majeed, Nurul Azma Abdullah |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Network security business.industry Computer science media_common.quotation_subject Computer security computer.software_genre Drone Adaptability Domain (software engineering) Consistency (database systems) Naive Bayes classifier The Internet business Internet of Things computer media_common |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 12 |
| ISSN: | 2156-5570 2158-107X |
| Popis: | Recent advancements in drone technology are opening new opportunities and applications: in various fields of life especially in the form of small drones. However, these advancements are also causing new challenges in terms of security, adaptability, and consistency. Small drones are proving to be a new opportunity for the civil and military industries. The small drones are suffering from architectural issues and the definition of security and safety issues. The rapid growth of the Internet of things opens new dimensions for drone technology but posing new threats as well. The tiny flying intelligent devices are challenging for the security and privacy of data. The design of these small drones is yet not matured to fulfill the domain requirements. The basic design issues also need security mechanisms, privacy mechanisms, and data transformations. The aspects like intrusion and interception in the domain of the Internet of Drones (IoD) need to be investigated to make these timely drones more secure and more adaptable. In this paper, we have used intelligent machine learning approach to design an IoT aided drone. This approach will provide intelligent cyber security system which will help in detecting network security threats using Blockchain. |
| Databáze: | OpenAIRE |
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