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المؤلفMan, Dapeng
المؤلفZeng, Fanyi
المؤلفLv, Jiguang
المؤلفXuan, Shichang
المؤلفYang, Wu
المؤلفGuizani, Mohsen
تاريخ الإتاحة2022-11-13T06:28:43Z
تاريخ النشر2021-01-01
اسم المنشورIEEE Consumer Electronics Magazine
المعرّفhttp://dx.doi.org/10.1109/MCE.2021.3137790
الاقتباسMan, D., Zeng, F., Lv, J., Xuan, S., Yang, W., & Guizani, M. (2021). AI-based Intrusion Detection for Intelligence Internet of Vehicles. IEEE Consumer Electronics Magazine.‏
الرقم المعياري الدولي للكتاب21622248
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122081705&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36241
الملخصWith the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable network to vehicles so that users can enjoy various services. However, vulnerabilities and incomplete protection mechanisms have led to a proliferation of security threats against IoV networks. Intrusion detection technology is an effective protection solution for IoV security, especially when Artificial Intelligence (AI) technology has been introduced into intrusion detection study. This paper first briefly introduces the concept and features of IoV, and then reviews the related research on AI-based IoV intrusion detection systems (IDSs). Finally, we discuss the open challenges and future research directions.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعArtificial intelligence
Convolutional neural networks
Feature extraction
Internet of Things
Intrusion detection
Security
Vehicular ad hoc networks
العنوانAI-based Intrusion Detection for Intelligence Internet of Vehicles
النوعArticle
dc.accessType Abstract Only


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