Mehedi, S., Islam, C., Ramachandran, G. und Jurdak, R. (2026) „Dy Sec: A Machine Learning-Based Dynamic Analysis for Detecting Malicious Packages in Py PI Ecosystem“, IEEE Transactions on Information Forensics and Security, Information Forensics and Security, IEEE Transactions on, IEEE Trans.Inform.Forensic Secur, 21, S. 1316-1331. doi:10.1109/TIFS.2026.3654388.
Chicago Manual of Style 17th edition (full note)Mehedi, S.T., C. Islam, G. Ramachandran, und R. Jurdak. „Dy Sec: A Machine Learning-Based Dynamic Analysis for Detecting Malicious Packages in Py PI Ecosystem“. IEEE Transactions on Information Forensics and Security, Information Forensics and Security, IEEE Transactions On, IEEE Trans.Inform.Forensic Secur 21 (1. Januar 2026): 1316-31. https://doi.org/10.1109/TIFS.2026.3654388.
American Psychological Association 7th editionMehedi, S., Islam, C., Ramachandran, G., & Jurdak, R. (2026). Dy Sec: A Machine Learning-Based Dynamic Analysis for Detecting Malicious Packages in Py PI Ecosystem. IEEE Transactions on Information Forensics and Security, Information Forensics and Security, IEEE Transactions On, IEEE Trans.Inform.Forensic Secur., 21, 1316-1331. https://doi.org/10.1109/TIFS.2026.3654388
Modern Language Association 9th editionMehedi, S., C. Islam, G. Ramachandran, und R. Jurdak. „Dy Sec: A Machine Learning-Based Dynamic Analysis for Detecting Malicious Packages in Py PI Ecosystem“. IEEE Transactions on Information Forensics and Security, Information Forensics and Security, IEEE Transactions On, IEEE Trans.Inform.Forensic Secur., Bd. 21, Januar 2026, S. 1316-31, https://doi.org/10.1109/TIFS.2026.3654388.
ISO-690 (author-date, Deutsch)MEHEDI, S.T., C. ISLAM, G. RAMACHANDRAN und R. JURDAK, 2026. Dy Sec: A Machine Learning-Based Dynamic Analysis for Detecting Malicious Packages in Py PI Ecosystem. IEEE Transactions on Information Forensics and Security, Information Forensics and Security, IEEE Transactions on, IEEE Trans.Inform.Forensic Secur.. 1 Januar 2026. Bd. 21, , S. 1316-1331. DOI 10.1109/TIFS.2026.3654388