Full list of publications in Google Scholar
D. Kosmanos, A. Pappas, L. Maglaras, S. Moschoyiannis, F. J. Aparicio-Navarro, A. Argyriou, H. Janicke, “A vovel intrusion detection system against spoofing attacks in connected electric vehicles,” in Elsevier Array, vol. 5, no. 100013, 2020, pp. 1-11.
D. Kosmanos, A. Pappas, F. J. Aparicio-Navarro, L. Maglaras, H. Janicke, E. Boiten, A. Argyriou, "Intrusion detection system for platooning connected autonomous vehicles," in Proc. of the 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2019, pp. 1-9.
I. Ghafir, K. Kyriakopoulos, S. Lambotharan, F. J. Aparicio-Navarro, B. AsSadhan, H. BinSalleeh, D. M. Diab, “Hidden markov models and alert correlations for the prediction of advanced persistent threats,” in IEEE Access, vol. 7, 2019, pp. 99508-99520.
F. J. Aparicio-Navarro, K. Kyriakopoulos, I. Ghafir, S. Lambotharan, J. Chambers, “Multi-stage attack detection using contextual information,” in IEEE Military Communications Conference (MILCOM), 2018, pp. 920-925.
I. Ghafir, M. Hammoudeh, V. Prenosil, L. Han, R. Hegarty, K. Rabie, F. J. Aparicio-Navarro, “Detection of advanced persistent threat using machine-learning correlation analysis,” Elsevier Future Generation Computer Systems, vol. 89, 2018, pp. 349-359.
F. J. Aparicio-Navarro, K. Kyriakopoulos, Y. Gong, D. Parish, J. Chambers, “Using pattern-of-life as contextual information for anomaly-based intrusion detection systems,” IEEE Access, vol. 5, 2017, pp. 22177-22193.