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 editionZhang, 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 - HarvardZhang, 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.