Roy, D. K., & Kalita, H. K. (2025). Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification. Journal of Cybersecurity & Privacy, 5(1), 3-33. https://doi.org/10.3390/jcp5010003
ISO-690 (author-date, English)ROY, Dharani Kanta and KALITA, Hemanta Kumar, 2025. Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification. Journal of Cybersecurity & Privacy. 1 March 2025. Vol. 5, no. 1, p. 3-33. DOI 10.3390/jcp5010003.
Modern Language Association 9th editionRoy, D. K., and H. K. Kalita. “Enhanced Deep Autoencoder-Based Reinforcement Learning Model With Improved Flamingo Search Policy Selection for Attack Classification.”. Journal of Cybersecurity & Privacy, vol. 5, no. 1, Mar. 2025, pp. 3-33, https://doi.org/10.3390/jcp5010003.
Mohr Siebeck - Recht (Deutsch - Österreich)Roy, Dharani Kanta/Kalita, Hemanta Kumar: Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification., Journal of Cybersecurity & Privacy 2025, 3-33.
Emerald - HarvardRoy, D.K. and Kalita, H.K. (2025), “Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification.”, Journal of Cybersecurity & Privacy, Vol. 5 No. 1, pp. 3-33.