2021
DOI: 10.1109/tits.2020.2980864
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Solving the Security Problem of Intelligent Transportation System With Deep Learning

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Cited by 106 publications
(50 citation statements)
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“…Its goal is to research and develop intelligent entities. Artificial intelligence methods mainly include artificial neural network technology, swarm intelligence, and support vector machine [18]. 2Combined detection model [19]: although the traditional detection methods and artificial intelligence methods can achieve better detection results in some fields, the detection accuracy cannot be further improved due to the single method.…”
Section: Types Of Detection Modelsmentioning
confidence: 99%
“…Its goal is to research and develop intelligent entities. Artificial intelligence methods mainly include artificial neural network technology, swarm intelligence, and support vector machine [18]. 2Combined detection model [19]: although the traditional detection methods and artificial intelligence methods can achieve better detection results in some fields, the detection accuracy cannot be further improved due to the single method.…”
Section: Types Of Detection Modelsmentioning
confidence: 99%
“…For such critical applications, the security of wireless UAV-UAV and ground-UAV communications is a must. Security schemes and techniques to ensure essential security features such as mutual authentication and privacy protection, and methods to analyze security vulnerabilities in UAV networks are also being developed [21] , [22] , [23] , [24] , [25] , [26] . There is little doubt that UAVs will play a crucial role in our future societies.…”
Section: Introductionmentioning
confidence: 99%
“…An efficient lightweight authentication scheme applicable for IoD is presented in Reference 56. The security problem related to drone delivery and intelligent transportation system with their improvement and trustworthiness is discussed in References 57,58. A drone delivery framework based on blockchain and IDS is presented in Reference 59.…”
Section: Related Workmentioning
confidence: 99%