American Psychological Association 6th edition

Ji, H., Wang, L., Qin, H., Wang, Y., Zhang, J., & Chen, B. (2024). In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification. Automotive Innovation, 1-12. https://doi.org/10.1007/s42154-023-00273-w

ISO-690 (author-date, English)

JI, Haojie, WANG, Liyong, QIN, Hongmao, WANG, Yinghui, ZHANG, Junjie und CHEN, Biao, 2024. In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification. Automotive Innovation. 5 Januar 2024. P. 1-12. DOI 10.1007/s42154-023-00273-w.

Modern Language Association 9th edition

Ji, H., L. Wang, H. Qin, Y. Wang, J. Zhang, und B. Chen. „In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification“. Automotive Innovation, Januar 2024, S. 1-12, https://doi.org/10.1007/s42154-023-00273-w.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ji, Haojie/Wang, Liyong/Qin, Hongmao/Wang, Yinghui/Zhang, Junjie/Chen, Biao: In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification, Automotive Innovation 2024, 1-12.

Emerald - Harvard

Ji, H., Wang, L., Qin, H., Wang, Y., Zhang, J. und Chen, B. (2024), „In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification“, Automotive Innovation, S. 1-12.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.