Carlos Garcia Cordero

Carlos Garcia Cordero

+49 6151 16-23205
+49 6151 16-23202

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 A316

More information

Research Interests

  • Machine learning
    • Anomaly Detection
    • Bayesian Networks
    • Deep Learning
  • Network Intrusion Detection
    • Collaborative Intrusion Detection
    • Distributed Intrusion Detection
  • Human Computer Interaction
    • 3D printing, computer graphics and 3D modeling tools

Short Biography

Carlos García Cordero is a scientist, systems engineer, mathematician, musician and thinker.

Carlos' research experience and interests are wide and cover diverse topics such as cyber-security, artificial intelligence, programming languages, compilers, machine learning and computer graphics, among others.

Carlos is currently studying a PhD in Cyber Security and Distributed Machine Learning at TU Darmstadt. He has an MSc in Artificial Intelligence from The University of Edinburgh and a BSc in Computer Systems Engineering from the ITESM CSF in Mexico, both achieved with the highest honors.

Teaching Activities

Winter Semester 2017

TK Seminar: 3D Printing and Machine Learning

Summer Semester 2017

TK3: Machine Learning in Ubiquitous and Mobile Computing

Summer Semester 2016

TK Seminar: Deep Learning and Software Defined Networking

TK3: Machine Learning in Ubiquitous and Mobile Computing

Winter Semester 2015/2016

TK Seminar: Ubiquitous Computing

Summer Semester 2015

TK Seminar: Ubiquitous Computing

Winter Semester 2014/2015

TK Seminar: Security, Privacy and Trust

Summer Semester 2014

Resilient Networks (assistant role)

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2017 | 2016 | 2015
Anzahl der Einträge: 13.

2017

Cordero, Carlos Garcia ; Vasilomanolakis, Emmanouil ; Mühlhäuser, Max (2017):
ID2T - The Intrusion Detection Dataset Generation Toolkit.
London, UK, [Online-Edition: https://www.blackhat.com/eu-17/],
[Anderes]

Egert, Rolf ; Cordero, Carlos Garcia ; Tundis, Andrea ; Mühlhäuser, Max (2017):
HOLEG: a Simulator for Evaluating Resilient Energy Networks based on the Holon Analogy.
IEEE, In: 21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2017), Rome, Italy, October 18 - 20, 2017, DOI: 10.1109/DISTRA.2017.8167665,
[Online-Edition: https://ieeexplore.ieee.org/document/8167665],
[Konferenzveröffentlichung]

Traverso, Giulia ; Cordero, Carlos Garcia ; Nojoumian, Mehrdad ; Azarderakhsh, Reza ; Demirel, Denise ; Habib, Sheikh Mahbub ; Buchmann, Johannes (2017):
Evidence-Based Trust Mechanism Using Clustering Algorithms for Distributed Storage Systems.
In: 15th Annual Conference on Privacy, Security and Trust (PST), Calgary, CA, 28.-30.8. 2017, [Online-Edition: https://www.ucalgary.ca/pst2017/],
[Konferenzveröffentlichung]

Tundis, Andrea ; Cordero, Carlos Garcia ; Egert, Rolf ; Garro, Alfredo ; Mühlhäuser, Max (2017):
Increasing the Resilience of Cyber Physical Systems in Smart Grid Environments using Dynamic Cells.
In: ICCPS 2017: 19th International Conference on Cyber-Physical Systems, WASET, [Konferenzveröffentlichung]

2016

Cordero, Carlos Garcia ; Hauke, Sascha ; Mühlhäuser, Max ; Fischer, Mathias (2016):
Analyzing Flow-based Anomaly Intrusion Detection using Replicator Neural Networks.
In: 14th Annual Conference on Privacy, Security and Trust (PST), IEEE, ISBN 978-1-5090-4379-8,
DOI: 10.1109/PST.2016.7906980,
[Konferenzveröffentlichung]

Vasilomanolakis, Emmanouil ; Stahn, Michael ; Cordero, Carlos Garcia ; Mühlhäuser, Max (2016):
On Probe-Response Attacks in Collaborative Intrusion Detection Systems.
In: IEEE Conference on Communications and Network Security, IEEE, Philadelphia, USA, ISBN 978-1-5090-3065-1,
DOI: 10.1109/CNS.2016.7860495,
[Konferenzveröffentlichung]

Vasilomanolakis, Emmanouil ; Srinivasa, Shreyas ; Cordero, Carlos Garcia ; Mühlhäuser, Max (2016):
Multi-stage Attack Detection and Signature Generation with ICS Honeypots.
In: IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT), IEEE, ISBN 978-1-5090-0223-8,
DOI: 10.1109/NOMS.2016.7502992,
[Konferenzveröffentlichung]

Vasilomanolakis, Emmanouil ; Cordero, Carlos Garcia ; Milanov, Nikolay ; Mühlhäuser, Max (2016):
Towards the creation of synthetic, yet realistic, intrusion detection datasets <b>(best paper award)</b>.
In: IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT), IEEE, Istanbul, Turkey, ISBN 978-1-5090-0223-8,
DOI: 10.1109/NOMS.2016.7502989,
[Konferenzveröffentlichung]

2015

Vasilomanolakis, Emmanouil ; Kruegl, Matthias ; Cordero, Carlos Garcia ; Fischer, Mathias ; Mühlhäuser, Max (2015):
SkipMon: a Locality-Aware Collaborative Intrusion Detection System.
In: International Performance Computing and Communications Conference (IPCCC), IEEE, Nanjing, China, ISBN 978-1-4673-8590-9,
DOI: 10.1109/PCCC.2015.7410282,
[Konferenzveröffentlichung]

Cordero, Carlos Garcia ; Vasilomanolakis, Emmanouil ; Milanov, Nikolay ; Koch, Christian ; Hausheer, David ; Mühlhäuser, Max (2015):
ID2T: A DIY Dataset Creation Toolkit for Intrusion Detection Systems.
In: IEEE Conference on Communications and Network Security (CNS 2015), [Online-Edition: http://dx.doi.org/10.1109/CNS.2015.7346912],
[Konferenzveröffentlichung]

Vasilomanolakis, Emmanouil ; Stahn, Michael ; Cordero, Carlos Garcia ; Mühlhäuser, Max (2015):
Probe-response attacks on collaborative intrusion detection systems: effectiveness and countermeasures.
In: IEEE Conference on Communications and Network Security (CNS), IEEE, Florence, Italy, ISBN 978-1-4673-7876-5,
DOI: 10.1109/CNS.2015.7346892,
[Konferenzveröffentlichung]

Cordero, Carlos Garcia ; Vasilomanolakis, Emmanouil ; Milanov, Nikolay ; Koch, Christian ; Hausheer, David ; Mühlhäuser, Max (2015):
ID2T: a DIY dataset creation toolkit for Intrusion Detection Systems.
In: IEEE Conference on Communications and Network Security (CNS), IEEE, Florence, Italy, ISBN 978-1-4673-7876-5,
DOI: 10.1109/CNS.2015.7346912,
[Konferenzveröffentlichung]

Cordero, Carlos Garcia ; Vasilomanolakis, Emmanouil ; Fischer, Mathias ; Mühlhäuser, Max (2015):
Community-based Collaborative Intrusion Detection.
In: International Workshop on Applications and Techniques in Cyber Security (ATCS) , International Conference on Security and Privacy in Communication Networks (SecureComm), Springer International Publishing, 164, ISBN 978-3-319-28865-9,
DOI: 10.1007/978-3-319-28865-9_44,
[Konferenzveröffentlichung]

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