Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Zhang, K., Wang, H., Chen, M., Chen, X., Liu, L., Geng, Q., & Zhou, Y. (2025). Leveraging machine learning to proactively identify phishing campaigns before they strike. Journal of Big Data, 12(1). https://doi.org/10.1186/s40537-025-01174-x

ISO-690 (author-date, English)

ZHANG, Kun, WANG, Haifeng, CHEN, Meiyi, CHEN, Xianglin, LIU, Long, GENG, Qiang und ZHOU, Yu, 2025. Leveraging machine learning to proactively identify phishing campaigns before they strike. Journal of Big Data. 1 Dezember 2025. Vol. 12, no. 1, . DOI 10.1186/s40537-025-01174-x.

Modern Language Association 9th edition

Zhang, K., H. Wang, M. Chen, X. Chen, L. Liu, Q. Geng, und Y. Zhou. „Leveraging Machine Learning to Proactively Identify Phishing Campaigns before They Strike“. Journal of Big Data, Bd. 12, Nr. 1, Dezember 2025, https://doi.org/10.1186/s40537-025-01174-x.

Mohr Siebeck - Recht (Deutsch - Österreich)

Zhang, Kun/Wang, Haifeng/Chen, Meiyi/Chen, Xianglin/Liu, Long/Geng, Qiang u. a.: Leveraging machine learning to proactively identify phishing campaigns before they strike, Journal of Big Data 2025,

Emerald - Harvard

Zhang, K., Wang, H., Chen, M., Chen, X., Liu, L., Geng, Q. und Zhou, Y. (2025), „Leveraging machine learning to proactively identify phishing campaigns before they strike“, Journal of Big Data, Vol. 12 No. 1, verfügbar unter:https://doi.org/10.1186/s40537-025-01174-x.

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