Malware is defined as any computer software explicitly designed to damage computers or networks. Their major motivation has evolved to malicious economic considerations. The anti-malware software or intrusion prevention systems are highly dependent on a signature database. A signature is a sequence of bits that is present within malicious executables and in the files already infected. Another features that can be used to face obfuscated and previously unseen malware are techniques based on dynamically extracted characteristics. Dynamic analysis executes the inspected specimen in a controlled environment called ‘sandbox’. The main advantages of static techniques are that they are safer because they do not execute malware, they are able to analyse all the execution paths of the executable, and the analysis and detection is usually fast.
The RAAP group has started this research line recently, significant advances have been done and published in conferences, and Ph. D candidate students have been incorporated to this research field.
Topics:
-
- Malware detection based on machine learning and semi-supervised learning
-
- Malware obfuscation technique to avoid anti-malware software
-
- Reversing engineering
- Forensic malware
Relevant Publications:
-
- J. L. Martínez , J.M. Villalon, J.H. Parreño, P. Cuenca and H. Kalva. Ensuring Privacy in a Distributed Video Coding Surveillance Scenario, 1st IEEE International Conference on Consumer Electronics Berlin (ICCE-Berlin 2011), IEEE Consumer Electronic Society, I.S.B.N.: 978-1-4577-0232-7, pp. 102-105, Berlin, Germany, September, 2011
-
- Javier Carrillo and José Luis Martínez. Técnica de ocultación de malware. XXVII Jornadas de Paralelismo. Salamanca, Spain. Septiembre, 2016
- Juan Manuel Castelo and José Luis Martínez. Un recorrido por el análisis forense. XXVII Jornadas de Paralelismo. Salamanca, Spain. Septiembre, 2016
People:
 |
José Luis Martínez, PhD Assistant Professor Phone number: +34 967 592 00 – Ext. 2294 Email: joseluis.martinez@uclm.es   |
 |
Javier Carrillo Mondejar Master’s Student Phone number: +34 967 599 200 – Ext. 2696 Email: Javier.Carrillo@alu.uclm.es |
 |
Juan Manuel Castelo Gómez Master’s Student Phone number: +34 967 599 200 – Ext. 2696 Email: JuanManuel.Castelo@alu.uclm.es |
 |
José Roldán Gómez PhD student Email: jose.roldan@uclm.es Research: Security in Network and Systems |