American Psychological Association 6th edition

Alam, M. K., Mahmud, M. A., & ALAM, M. A. (2025). Adversarial Machine Learning for Robust Fraud Detection in High-Frequency Financial Transactions. Journal of Computer Science & Technology Studies, 7(8), 314-335. https://doi.org/10.32996/jcsts.2025.7.8.35

ISO-690 (author-date, English)

ALAM, Mohammad Kowshik, MAHMUD, Md Asief und ALAM, MD ASHRAFUL, 2025. Adversarial Machine Learning for Robust Fraud Detection in High-Frequency Financial Transactions. Journal of Computer Science & Technology Studies. 15 Juli 2025. Vol. 7, no. 8, p. 314-335. DOI 10.32996/jcsts.2025.7.8.35.

Modern Language Association 9th edition

Alam, M. K., M. A. Mahmud, und M. A. ALAM. „Adversarial Machine Learning for Robust Fraud Detection in High-Frequency Financial Transactions.“. Journal of Computer Science & Technology Studies, Bd. 7, Nr. 8, Juli 2025, S. 314-35, https://doi.org/10.32996/jcsts.2025.7.8.35.

Mohr Siebeck - Recht (Deutsch - Österreich)

Alam, Mohammad Kowshik/Mahmud, Md Asief/ALAM, MD ASHRAFUL: Adversarial Machine Learning for Robust Fraud Detection in High-Frequency Financial Transactions., Journal of Computer Science & Technology Studies 2025, 314-335.

Emerald - Harvard

Alam, M.K., Mahmud, M.A. und ALAM, M.A. (2025), „Adversarial Machine Learning for Robust Fraud Detection in High-Frequency Financial Transactions.“, Journal of Computer Science & Technology Studies, Vol. 7 No. 8, S. 314-335.

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