Machine Learning for Cyber Security : 4 th International Conference, ML4 CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part II. [ca. 2023]. In Y. Xu, H. Yan, H. Teng, J. Cai, & J. Li (Hrsg.), Lecture Notes in Computer Science (1 st ed. 2023) [Cd]. Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-20099-1
ISO-690 (author-date, English)XU, Yuan, YAN, Hongyang, TENG, Huang, CAI, Jun und LI, Jin (Hrsg.). 1 st ed. 2023. Cham: Springer Nature Switzerland. ISBN 9783031200991.
Modern Language Association 9th editionXu, Y., H. Yan, H. Teng, J. Cai, und J. Li, Herausgeber. „Machine Learning for Cyber Security : 4 th International Conference, ML4 CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part II“. Lecture Notes in Computer Science, 1 st ed. 2023, cd, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-20099-1.
Mohr Siebeck - Recht (Deutsch - Österreich): Machine Learning for Cyber Security : 4 th International Conference, ML4 CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part II, 1 st ed. 2023. Aufl. Cham 2023.
Emerald - HarvardXu, Y., Yan, H., Teng, H., Cai, J. und Li, J. (Hrsg.). (2023), Machine Learning for Cyber Security : 4 th International Conference, ML4 CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part II, Lecture Notes in Computer Science, 1 st ed. 2023., Bd. , Springer Nature Switzerland, Cham, verfügbar unter:https://doi.org/10.1007/978-3-031-20099-1.