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Francisco J. Aparicio-Navarro
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2020 – today
- 2022
- [c15]Jack Edwards, Francisco J. Aparicio-Navarro, Leandros Maglaras
, Christos Douligeris:
FFDA: A novel Four-Factor Distributed Authentication mechanism. CSR 2022: 376-381 - 2020
- [j6]Dimitrios Kosmanos, Apostolos Pappas
A novel Intrusion Detection System against spoofing attacks in connected Electric Vehicles. Array 5: 100013 (2020)
2010 – 2019
- 2019
- [j5]Ibrahim Ghafir
Hidden Markov Models and Alert Correlations for the Prediction of Advanced Persistent Threats. IEEE Access 7: 99508-99520 (2019) - [c14]Francisco J. Aparicio-Navarro
Addressing Multi-Stage Attacks Using Expert Knowledge and Contextual Information. ICIN 2019: 188-194 - [c13]Dimitrios Kosmanos, Apostolos Pappas
Intrusion Detection System for Platooning Connected Autonomous Vehicles. SEEDA-CECNSM 2019: 1-9 - 2018
- [j4]Ibrahim Ghafir
A Basic Probability Assignment Methodology for Unsupervised Wireless Intrusion Detection. IEEE Access 6: 40008-40023 (2018) - [j3]Ibrahim Ghafir, Mohammad Hammoudeh
Detection of advanced persistent threat using machine-learning correlation analysis. Future Gener. Comput. Syst. 89: 349-359 (2018) - [c12]Ibrahim Ghafir, Vaclav Prenosil
Disguised executable files in spear-phishing emails: detecting the point of entry in advanced persistent threat. ICFNDS 2018: 44:1-44:5 - [c11]Francisco J. Aparicio-Navarro
Multi-Stage Attack Detection Using Contextual Information. MILCOM 2018: 1-9 - 2017
- [j2]Francisco J. Aparicio-Navarro
Using Pattern-of-Life as Contextual Information for Anomaly-Based Intrusion Detection Systems. IEEE Access 5: 22177-22193 (2017) - [c10]Francisco J. Aparicio-Navarro
Using the pattern-of-life in networks to improve the effectiveness of intrusion detection systems. ICC 2017: 1-7 - [c9]Timothy A. Chadza, Francisco J. Aparicio-Navarro
A look into the information your smartphone leaks. ISNCC 2017: 1-6 - 2016
- [c8]Francisco J. Aparicio-Navarro
Adding contextual information to Intrusion Detection Systems using Fuzzy Cognitive Maps. CogSIMA 2016: 180-186 - 2015
- [c7]Ginés Escudero-Andreu, Konstantinos G. Kyriakopoulos
A data fusion technique to detect wireless network virtual jamming attacks. M&N 2015: 1-6 - 2014
- [j1]Konstantinos G. Kyriakopoulos
Manual and Automatic assigned thresholds in multi-layer data fusion intrusion detection system for 802.11 attacks. IET Inf. Secur. 8(1): 42-50 (2014) - [c6]Francisco J. Aparicio-Navarro
Empirical study of automatic dataset labelling. ICITST 2014: 372-378 - [c5]Francisco J. Aparicio-Navarro
Automatic Dataset Labelling and Feature Selection for Intrusion Detection Systems. MILCOM 2014: 46-51 - 2013
- [c4]Konstantinos G. Kyriakopoulos
Detecting misbehaviour in WiFi using multi-layer metric data fusion. M&N 2013: 155-160 - 2012
- [c3]Francisco J. Aparicio-Navarro, Konstantinos G. Kyriakopoulos, David J. Parish:
A multi-layer data fusion system for Wi-Fi attack detection using automatic belief assignment. WorldCIS 2012: 45-50 - 2011
- [c2]Francisco J. Aparicio-Navarro
An on-line wireless attack detection system using multi-layer data fusion. M&N 2011: 1-5 - [c1]Konstantinos G. Kyriakopoulos
Fusing multi-layer metrics for detecting security attacks in 802.11 networks. WTS 2011: 1-6
Coauthor Index
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