Electronics, Volume 10, Issue 13
2021 July-1 - 104 articles
Cover Story: The advancement in UAVs, along with their integration with cellular and satellite communication, provides several applications and stable services in remote locations. However, UAVs are becoming easy targets for cyber attackers due to their weak and poor security infrastructure. In this paper, we introduced a machine-learning-enabled Intrusion Detection System (IDS) security model for 5G-Connected UAV Networks. This security model is based on a popular network dataset that can harness ML to effectively detect various types of vulnerabilities and cyberattacks. The effectiveness of various types of ML algorithms used in IDS was compared, and the results were presented. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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