Jeyaselvi, M., Dhanaraj, R. K., Sathya, M., Memon, F. H., Krishnasamy, L., Dev, K., Ziyue, W., & Qureshi, N. M. F. (2023). A highly secured intrusion detection system for Io T using EXPSO-STFA feature selection for LAANN to detect attacks. Cluster Computing: The Journal of Networks, Software Tools and Applications, 26(1), 559-574. https://doi.org/10.1007/s10586-022-03607-1
ISO-690 (author-date, English)JEYASELVI, M., DHANARAJ, Rajesh Kumar, SATHYA, M., MEMON, Fida Hussain, KRISHNASAMY, Lalitha, DEV, Kapal, ZIYUE, Wang und QURESHI, Nawab Muhammad Faseeh, 2023. A highly secured intrusion detection system for Io T using EXPSO-STFA feature selection for LAANN to detect attacks. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 Februar 2023. Vol. 26, no. 1, p. 559-574. DOI 10.1007/s10586-022-03607-1.
Modern Language Association 9th editionJeyaselvi, M., R. K. Dhanaraj, M. Sathya, F. H. Memon, L. Krishnasamy, K. Dev, W. Ziyue, und N. M. F. Qureshi. „A Highly Secured Intrusion Detection System for Io T Using EXPSO-STFA Feature Selection for LAANN to Detect Attacks“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Bd. 26, Nr. 1, Februar 2023, S. 559-74, https://doi.org/10.1007/s10586-022-03607-1.
Mohr Siebeck - Recht (Deutsch - Österreich)Jeyaselvi, M./Dhanaraj, Rajesh Kumar/Sathya, M./Memon, Fida Hussain/Krishnasamy, Lalitha/Dev, Kapal u. a.: A highly secured intrusion detection system for Io T using EXPSO-STFA feature selection for LAANN to detect attacks, Cluster Computing: The Journal of Networks, Software Tools and Applications 2023, 559-574.
Emerald - HarvardJeyaselvi, M., Dhanaraj, R.K., Sathya, M., Memon, F.H., Krishnasamy, L., Dev, K., Ziyue, W. und Qureshi, N.M.F. (2023), „A highly secured intrusion detection system for Io T using EXPSO-STFA feature selection for LAANN to detect attacks“, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 26 No. 1, S. 559-574.