I am a Ph.D. candidate in the Computer Security Lab (COSEC) at the Department of Computer Science and Engineering of Universidad Carlos III de Madrid. My PhD isfunded by the Community of Madrid and European Union for the research project CIBERDINE. My main area of research is computer security. However, I am particularly interested in reverse engineering, malware analysis, and the study of protocols for secure communication using artificial intelligence tools and techniques. In addition, I am eager to tackle security issues from a multi-objective perspective, i.e. trying to deal with such problems by consuming the least possible amount of in hand resources. Currently, I am working on security analysis, malware analysis and risk management with a special focus on smartphone devices having the honor to be supervised by Dr. Juan Tapiador and Dr. José M. de Fuentes.
Among his main interests are:
- Mobile Security
- System Security
- Malware Analysis
- Reverse Engineering
Mirzaei, Omid; de Fuentes, José María; Tapiador, Juan; González-Manzano, Lorena. AndrODet: An adaptive Android obfuscation detector. Future Generation Comp. Syst..
Mirzaei, Omid; Suarez-Tangil, Guillermo; de Fuentes, José María; Tapiador, Juan; Stringhini, Gianluca. AndrEnsemble: Leveraging API Ensembles to Characterize Android Malware Families.
Khodadadi, H.; Mirzaei, Omid. A stack-based chaotic algorithm for encryption of colored images. Journal of AI and Data Mining.
Mirzaei, Omid; Tapiador, Juan; de Fuentes, José María. TriFlow: Triaging Android Applications using Speculative Information Flows. Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, AsiaCCS 2017, Abu Dhabi, United Arab Emirates, April 2-6, 2017. ACM.
Chahkandi, V.; Mirzaei, Omid. Vertex coloring based on artificial bee colony algorithm. 2015 International Congress on Technology, Communication and Knowledge (ICTCK).
Nejati, M.; Kargozar, M.; Mirzaei, Omid; Chahkandi, V.. Analysis of an asymmetric cryptosystem based on boolean matrices and permutations. 2015 International Congress on Technology, Communication and Knowledge (ICTCK).
Mirzaei, Omid; Akbarzadeh-T., Mohammad-R.. A Novel Learning Algorithm Based on a Multi-Agent Structure for Solving Multi-Mode Resource-Constrained Project Scheduling Problem. Computer Science and its Applications: CSA 2012. Journal of Convergence.
Mirzaei, Omid; Akbarzadeh-T., Mohammad-R.. A Novel Learning Algorithm Based on a Multi-Agent Structure for Solving Multi-Mode Resource-Constrained Project Scheduling Problem. Computer Science and its Applications: CSA 2012. Springer Netherlands.
Mirzaei, Omid; Yaghoobi, Mahdi; Irani, Hassan. A new image encryption method: parallel sub-image encryption with hyper chaos. Nonlinear Dynamics.
Mirzaei, Omid; Irani, Hassan; Pourreza, Hamid Reza. Offline Signature Recognition using Modular Neural Networks with Fuzzy Response Integration. International Conference on Network and Electronics Engineering.