APA (7th ed.) Citation

Alzaidi, M. S., Shukla, P. K., Sangeetha, V., Pandagre, K. N., Minchula, V. K., Sharma, S., . . . Prashanth, V. (2024). Applying machine learning enabled myriad fragment empirical modes in 5G communications to detect profile injection attacks. Wireless networks, 30(6), 5533-5546. https://doi.org/10.1007/s11276-023-03301-z

Chicago Style (17th ed.) Citation

Alzaidi, Mohammed S., Piyush Kumar Shukla, V. Sangeetha, Karuna Nidhi Pandagre, Vinodh Kumar Minchula, Sachin Sharma, Arfat Ahmad Khan, and V. Prashanth. "Applying Machine Learning Enabled Myriad Fragment Empirical Modes in 5G Communications to Detect Profile Injection Attacks." Wireless Networks 30, no. 6 (2024): 5533-5546. https://doi.org/10.1007/s11276-023-03301-z.

MLA (9th ed.) Citation

Alzaidi, Mohammed S., et al. "Applying Machine Learning Enabled Myriad Fragment Empirical Modes in 5G Communications to Detect Profile Injection Attacks." Wireless Networks, vol. 30, no. 6, 2024, pp. 5533-5546, https://doi.org/10.1007/s11276-023-03301-z.