AL Mukhaini, G., Anbar, M., Manickam, S., & Al-Shurbaji, T. (2025). Optimized feature selection for Io T intrusion detection using firefly and Harris Hawk Optimization algorithms with a new multi-objective fitness function. Cluster Computing: The Journal of Networks, Software Tools and Applications, 28(13). https://doi.org/10.1007/s10586-025-05533-4

AL MUKHAINI, Ghada, ANBAR, Mohammed, MANICKAM, Selvakumar und AL-SHURBAJI, Tamara, 2025. Optimized feature selection for Io T intrusion detection using firefly and Harris Hawk Optimization algorithms with a new multi-objective fitness function. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 November 2025. Vol. 28, no. 13, . DOI 10.1007/s10586-025-05533-4.

AL Mukhaini, G., M. Anbar, S. Manickam, und T. Al-Shurbaji. „Optimized Feature Selection for Io T Intrusion Detection Using Firefly and Harris Hawk Optimization Algorithms With a New Multi-Objective Fitness Function“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Bd. 28, Nr. 13, November 2025, https://doi.org/10.1007/s10586-025-05533-4.

AL Mukhaini, Ghada/Anbar, Mohammed/Manickam, Selvakumar/Al-Shurbaji, Tamara: Optimized feature selection for Io T intrusion detection using firefly and Harris Hawk Optimization algorithms with a new multi-objective fitness function, Cluster Computing: The Journal of Networks, Software Tools and Applications 2025,

AL Mukhaini, G., Anbar, M., Manickam, S. und Al-Shurbaji, T. (2025), „Optimized feature selection for Io T intrusion detection using firefly and Harris Hawk Optimization algorithms with a new multi-objective fitness function“, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 28 No. 13, verfügbar unter:https://doi.org/10.1007/s10586-025-05533-4.