Contact Details

nameCarlos Garcia Cordero
positionResearcher at GRK: Privacy and Trust for mobile Users
email

garcia (AT) tk(DOT)tu-darmstadt(DOT)de

phone+49 (6151) 16 - 23205
fax+49 (6151) 16 - 23202
officeS2|02 A 316
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt
Germany

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.

Publications

Additional Attributes

Type

ID2T - The Intrusion Detection Dataset Generation Toolkit

Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Max Mühlhäuser
December 2017
[Online-Edition: https://www.blackhat.com/eu-17]
[Misc]

HOLEG: a Simulator for Evaluating Resilient Energy Networks based on the Holon Analogy

Rolf Egert, Carlos Garcia Cordero, Andrea Tundis, Max Mühlhäuser
In: 21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2017), October 2017
IEEE
[Inproceedings]

Evidence-Based Trust Mechanism Using Clustering Algorithms for Distributed Storage Systems

Giulia Traverso, Carlos Garcia Cordero, Mehrdad Nojoumian, Reza Azarderakhsh, Denise Demirel, Sheikh Mahbub Habib, Johannes Buchmann
In: 15th Annual Conference on Privacy, Security and Trust (PST), August 2017
[Inproceedings]

Increasing the Resilience of Cyber Physical Systems in Smart Grid Environments using Dynamic Cells

Andrea Tundis, Carlos Garcia Cordero, Rolf Egert, Alfredo Garro, Max Mühlhäuser
In: ICCPS 2017: 19th International Conference on Cyber-Physical Systems, p. 796-807, 2017
WASET
[Inproceedings]

Analyzing Flow-based Anomaly Intrusion Detection using Replicator Neural Networks

Carlos Garcia Cordero, Sascha Hauke, Max Mühlhäuser, Mathias Fischer
In: 14th Annual Conference on Privacy, Security and Trust (PST), p. 317 - 324, December 2016
IEEE
[Inproceedings]

Theses

3 Entries found


05.04.2018

Evolutionary Algorithm for optimizing Smart Grid Network Design

Bachelor Thesis

in progress


22.01.2018

Predicting vulnerabilities in software

Master Thesis

in progress


Optimizing holon-based energy networks using Particle Swarm Optimization

Bachelor Thesis

finished



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