LASCA Research Report 2013

1. Faculty

1.1 Professors

  • Diego de Freitas Aranha (Professor Doutor I)
  • Julio Cesar López Hernández (Professor Associado II)
  • Paulo Lício de Geus (Professor Associado I)
  • Ricardo Dahab (Professor Associado I)

1.2 Students

Students advised by Prof. Diego de Freitas Aranha:

Students advised by Prof. Julio Cesar López Hernández:

  • Ana Karina Dourado Salina de Oliveira (PhD Student)
  • Armando Faz Hernández (PhD Student)
  • Roberto Cabral Rabêlo Filho (MsC Student)

Students advised by Prof. Paulo Lício de Geus:

  • Marcelo Invert Palma Salas (PhD Student)
  • Vítor Monte Afonso (PhD Student)
  • Adriano Ricardo Ruggero (MsC Student)
  • Otavio Augusto Araujo Silva (MsC Student)

Students advised by Prof. Ricardo Dahab:

2. Publications

3. Awards

  • Aug. 18, 2013 Best Paper Award at CHES 2013

    Best Paper Award at the 15th International Workshop on Cryptographic Hardware and Embedded Systems (CHES 2013) for the publication of the article titled "Lambda Coordinates for Binary Elliptic Curves" authored by Thomaz Oliveira, Julio López, Diego F. Aranha and Francisco Rodríguez-Henríquez.

  • Oct. 1, 2013 Richard E Merwin Scholarship, IEEE Computer Society was awarded to Marcelo I. P. Salas

    This scholarship was created in honor of the late Richard E. Merwin, past president of the IEEE Computer Society, to recognize and reward student leadership.

4. Projects

  • BAMTA: Behavioral Analyzer for Mobile Threatening Apps
    • Coordinator(s):   Paulo Lício de Geus
    • Validity:               2013 - Current
    • Description:       Samsung sponsored. BAMTA dynamically analyzes Android applications, obtaining their network traffic, API function calls and system calls traces, and producing reports about their exhibited behavior.
  • BehEMOT: Behavior Evaluation from Malware Observation Tool
    • Coordinator(s):   Paulo Lício de Geus, André Ricardo Abed Grégio
    • Validity:               2010 - Current
    • Description:       A tool to analyze malware behavior in a non-intrusive and effective way that extends the analysis possibilities to cover malware samples that bypass current approaches, also fixing some issues with them and filling a gap in the field.

5. LASCA Indicators

Professors: 4
MSc students: 3
PhD students: 4
Post-Docs: 1
Projects: 2
Publications: 2
MSc dissertations defended: 0
PhD theses defended: 0
Awards: 2

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