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Ibéria Medeiros


Departamento de Informática

Sala/Gabinete 6.3.46
Ext. Principal 26346
Telefone Direto 217500087
Email ivmedeiros@ciencias.ulisboa.pt
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Carreira Docente Universitário
Categoria Professor Auxiliar


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Currículo Resumido

Ibéria Medeiros is an invited Assistant Professor in the Department of Informatics, at the Faculty of Sciences University of Lisbon (FCUL). She holds a PhD degree in Computer Science and a MSc degree in Informatics at the Faculty of Sciences University of Lisbon, and a Licenciatura (roughly equivalent to BSc+MSc) in Mathematics and Informatics at the University of Azores. She is an integrated researcher of the LaSIGE - Large-Scale Informatics Systems Laboratory, and a member of the Navigators research group. She has been participating in SEGRID (Security for smart Electricity GRIDs) and DiSIEM (Diversity-enhancements for Security Information and Event Management) european projects. Her research interests are concerned with software security, vulnerability detection, source code static analysis, runtime protection, machine learning, data mining, natural language processing, and security.

Interesses Científicos

Segurança de software; Análise estática de código; Deteção de Vulnerabilidades; Aprendizagem máquina; Mineração de dados; Processamento de linguagem natural; Segurança

Scientific Interests

Software security; Source code static analysis; Vulnerability detection; Machine learning; Data mining; Natural language processing; Security

Publicações selecionadas
  • Ibéria Medeiros, Nuno Neves, Miguel Correia, Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining, IEEE Transactions on Reliability, Vol. 65, No. 1, pages 54-69, March 2016
  • Ibéria Medeiros, Nuno Neves, Miguel Correia. Equipping WAP with Weapons to Detect Vulnerabilities. Proceedings of the International Conference on Dependable Systems and Networks (DSN), Toulouse, France, June 2016
  • Ibéria Medeiros, Nuno Neves, Miguel Correia. DEKANT: A Static Analysis Tool that Learns to Detect Web Application Vulnerabilities. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA), Saarbrücken, German, July 2016
  • Ibéria Medeiros, Miguel Beatriz, Nuno Neves, Miguel Correia. Hacking the DBMS to Prevent Injection Attacks. Proceedings of the ACM Conference on Data and Applications Security and Privacy (CODASPY), New Orleans, EUA, March 2016
  • Ibéria Medeiros, Nuno Neves, Miguel Correia. Automatic Detection and Correction of Web Application Vulnerabilities using Data Mining to Predict False Positives. Proceedings of the 23rd International Conference on World Wide Web (WWW), Seoul, Korea, April 2014