Singh, S., Khanna, T., & Verma, D. K. (2025). A hybrid ensemble model for ransomware detection using feature engineering and deep learning. International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth’s Institute of Computer Applications and Management, 17(8), 5095-5104. https://doi.org/10.1007/s41870-025-02681-z
ISO-690 (author-date, English)SINGH, Shweta, KHANNA, Tejaswi und VERMA, Deepak Kumar, 2025. A hybrid ensemble model for ransomware detection using feature engineering and deep learning. International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth’s Institute of Computer Applications and Management. 1 November 2025. Vol. 17, no. 8, p. 5095-5104. DOI 10.1007/s41870-025-02681-z.
Modern Language Association 9th editionSingh, S., T. Khanna, und D. K. Verma. „A Hybrid Ensemble Model for Ransomware Detection Using Feature Engineering and Deep Learning“. International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth’s Institute of Computer Applications and Management, Bd. 17, Nr. 8, November 2025, S. 5095-04, https://doi.org/10.1007/s41870-025-02681-z.
Mohr Siebeck - Recht (Deutsch - Österreich)Singh, Shweta/Khanna, Tejaswi/Verma, Deepak Kumar: A hybrid ensemble model for ransomware detection using feature engineering and deep learning, International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth’s Institute of Computer Applications and Management 2025, 5095-5104.
Emerald - HarvardSingh, S., Khanna, T. und Verma, D.K. (2025), „A hybrid ensemble model for ransomware detection using feature engineering and deep learning“, International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth’s Institute of Computer Applications and Management, Vol. 17 No. 8, S. 5095-5104.