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Dr Francisco J. Aparicio Navarro

Job: Senior Lecturer in Cyber Security || Programme Leader – Apprenticeships MSc Digital Technology Solutions Specialist

Faculty: Technology

School/department: School of Computer Science and Informatics

Address: GH 5.33, The Gateway, Leicester, LE1 9BH

T: +44 (0)116 257 7239




Personal profile

Dr Aparicio Navarro works as a Senior Lecturer in Cyber Security at De Montfort University. His research interest are in the areas of Network Security, Intrusion Detection and Network Traffic Analysis. Dr Aparicio Navarro has advanced the state-of-the-art of network security by developing novel unsupervised Intrusion Detection Systems, and proposing statistical approaches to integrate Contextual Information and Situational Awareness into the cyber-attack detection process. He was involved in the defence project UDRC, collaborating with the MoD/Dstl, has delivered cyber security solutions for Connected Autonomous Vehicles, in partnership with Airbus, and researches methods to detect Advanced Persistent Threats and Multi-Stage Attacks in networked environments. Dr Aparicio Navarro has commercialised his research output, and completed the CyberASAP Year 3 accelerator programme.

Research Skills / Expertise:

  • Computer Networks (Routing and Switching, CCNA)
  • Anomaly-based & Signature-based Intrusion Detection Systems
  • Penetration Testing, Incident Response, & Cyber Threat Intelligence
  • Ethical Hacking - Host-based & Web App Penetration Testing
  • Data Mining, Machine Learning & AI
  • Network Traffic Monitoring, Cross-layer Measurements & Data Fusion
  • Context and Knowledge Representation
  • Entrepreneurship, Innovation & Commercialisation

Publications and outputs 

Full list of publications in Google Scholar

Selected Publications:

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.

Research interests/expertise

Cyber Security, Intrusion Detection Systems, Network Security, Network Traffic Analysis, Connected Vehicles

Courses taught

Academic Year 2020/21

CTEC2914 - Penetration testing (BSc) - Module Leader

CTEC5804 - Penetration Testing & Incident Response (MSc) - Module Leader

CTEC5603 - AI for Security  (MSc) - Module Leader

CTEC2309 - Penetration Testing - Apprenticeship (BSc)

Previous Teaching:

(Computer Networks, CCNA)

CTEC3605 - Multi-Service Networks 1 (BSc)

CTEC3606 - Multi-Service Networks 2 (BSc)

Professional licences and certificates

Ethical Hacking - Certified Security Testing Associate (CSTA), 7Safe

Fellowship of the Higher Education Academy (FHEA)


Current & Previous projects:
  • Installation and Configuration of Cloud-based Environment - NCSC/GCHQ - (Principal Investigator)
  • INSURE: Intrusion Detection System for Public Hotspot Cyber Security - Phase 2 (Innovate UK) - 133894 - (Principal Investigator)
  • INSURE: Intrusion Detection System for Public Hotspot Cyber Security (Innovate UK) - 105350 - (Principal Investigator)
  • FLOURISH: Empowerment through Trusted Secure Mobility (Innovate UK & Airbus) - 102582
  • Signal Processing Solutions for the Networked Battlespace (Dstl & EPSRC) - EP/K014307/1 & EP/K014307/2 (Research Associate)
  • Cross Layer Techniques for Intrusion Tolerant Networks (EPSRC) - EP/H005005/1 (PhD Student)

Professional esteem indicators

Topic Editor Team: Sensors, MDPI Journal

Programme Committee:

Program Chair - 3rd IEEE Symposium on Software Engineering for Smart Systems (SSESS) 2019, Leicester, UK

Invited Speaker:

CyberASAP Demo Day (2020), Level 39, Canary Wharf, London, UK

Workshop on Machine Learning for Cyber Security (2019), Loughborough University, Loughborough, UK

Faculty of Technology Research Seminar Series (2018), De Montfort University, Leicester, UK

Workshop in Cybersecurity and Future Challenges (2018), King Saud University, Riyadh, Saudi Arabia

Data Science and Signal Processing Meeting (2017), The Alan Turing Institute, London, UK

Workshop in Anomaly Detection (2016), ANII, Montevideo, Uruguay

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