Francisco J. Aparicio-Navarro

According to our database, Francisco J. Aparicio-Navarro authored at least 21 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FFDA: A novel Four-Factor Distributed Authentication mechanism.

Jack Edwards, Francisco J. Aparicio-Navarro, Leandros Maglaras, Christos Douligeris

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2022

2020

A novel Intrusion Detection System against spoofing attacks in connected Electric Vehicles.

Dimitrios Kosmanos, Apostolos Pappas, Leandros Maglaras, Sotiris Moschoyiannis, Francisco J. Aparicio-Navarro, Antonios Argyriou, Helge Janicke

Array, 2020

2019

Hidden Markov Models and Alert Correlations for the Prediction of Advanced Persistent Threats.

Ibrahim Ghafir, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, Francisco J. Aparicio-Navarro, Basil AsSadhan, Hamad Binsalleeh, Diab M. Diab

IEEE Access, 2019

Intrusion Detection System for Platooning Connected Autonomous Vehicles.

Dimitrios Kosmanos, Apostolos Pappas, Francisco J. Aparicio-Navarro, Leandros A. Maglaras, Helge Janicke, Eerke A. Boiten, Antonios Argyriou

Proceedings of the 4th South-East Europe Design Automation, 2019

Addressing Multi-Stage Attacks Using Expert Knowledge and Contextual Information.

Francisco J. Aparicio-Navarro, Timothy A. Chadza, Konstantinos G. Kyriakopoulos, Ibrahim Ghafir, Sangarapillai Lambotharan, Basil AsSadhan

Proceedings of the 22nd Conference on Innovation in Clouds, 2019

2018

Detection of advanced persistent threat using machine-learning correlation analysis.

Ibrahim Ghafir, Mohammad Hammoudeh, Vaclav Prenosil, Liangxiu Han, Robert Hegarty, Khaled M. Rabie, Francisco J. Aparicio-Navarro

Future Gener. Comput. Syst., 2018

A Basic Probability Assignment Methodology for Unsupervised Wireless Intrusion Detection.

Ibrahim Ghafir, Konstantinos G. Kyriakopoulos, Francisco J. Aparicio-Navarro, Sangarapillai Lambotharan, Basil AsSadhan, Hamad Binsalleeh

IEEE Access, 2018

Multi-Stage Attack Detection Using Contextual Information.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, Ibrahim Ghafir, Sangarapillai Lambotharan, Jonathon A. Chambers

Proceedings of the 2018 IEEE Military Communications Conference, 2018

Disguised executable files in spear-phishing emails: detecting the point of entry in advanced persistent threat.

Ibrahim Ghafir, Vaclav Prenosil, Mohammad Hammoudeh, Francisco J. Aparicio-Navarro, Khaled M. Rabie, Ahmad Jabban

Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

2017

Using Pattern-of-Life as Contextual Information for Anomaly-Based Intrusion Detection Systems.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, Yu Gong, David J. Parish, Jonathon A. Chambers

IEEE Access, 2017

A look into the information your smartphone leaks.

Timothy A. Chadza, Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, Jonathon A. Chambers

Proceedings of the 2017 International Symposium on Networks, Computers and Communications, 2017

Using the pattern-of-life in networks to improve the effectiveness of intrusion detection systems.

Francisco J. Aparicio-Navarro, Jonathon A. Chambers, Konstantinos G. Kyriakopoulos, Yu Gong, David J. Parish

Proceedings of the IEEE International Conference on Communications, 2017

2016

Adding contextual information to Intrusion Detection Systems using Fuzzy Cognitive Maps.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, David J. Parish, Jonathon A. Chambers

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2016

2015

A data fusion technique to detect wireless network virtual jamming attacks.

Ginés Escudero-Andreu, Konstantinos G. Kyriakopoulos, Francisco J. Aparicio-Navarro, David J. Parish, Diego Santoro, Michele Vadursi

Proceedings of the IEEE International Workshop on Measurements & Networking, 2015

2014

Manual and Automatic assigned thresholds in multi-layer data fusion intrusion detection system for 802.11 attacks.

Konstantinos G. Kyriakopoulos, Francisco J. Aparicio-Navarro, David J. Parish

IET Inf. Secur., 2014

Automatic Dataset Labelling and Feature Selection for Intrusion Detection Systems.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, David J. Parish

Proceedings of the 2014 IEEE Military Communications Conference, 2014

Empirical study of automatic dataset labelling.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, David J. Parish

Proceedings of the 9th International Conference for Internet Technology and Secured Transactions, 2014

2013

Detecting misbehaviour in WiFi using multi-layer metric data fusion.

Konstantinos G. Kyriakopoulos, Francisco J. Aparicio-Navarro, David J. Parish

Proceedings of the 2nd IEEE International Workshop on Measurements & Networking, 2013

2012

A multi-layer data fusion system for Wi-Fi attack detection using automatic belief assignment.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, David J. Parish

Proceedings of the 2012 World Congress on Internet Security, 2012

2011

Fusing multi-layer metrics for detecting security attacks in 802.11 networks.

Konstantinos G. Kyriakopoulos, Francisco J. Aparicio-Navarro, David J. Parish

Proceedings of the 2011 Wireless Telecommunications Symposium, 2011

An on-line wireless attack detection system using multi-layer data fusion.

Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, David J. Parish

Proceedings of the IEEE International Workshop on Measurement and Networking, 2011