[owasp_seraphimdroid_project] GSoC - Behavioral malware and intrusion analysis
athoscribeiro at gmail.com
Mon Mar 14 15:03:31 UTC 2016
My name is Athos Ribeiro,
I am a software engineer and a M.S. student at University of São Paulo, Brazil.
Currently, my research interests are in source code static analysis and machine learning. I worked at NIST (National Institute of Standards and Technology) as a Guest Researcher during 2014 working with static analysis tools evaluation. Now, for my master degree, I want to apply machine learning techniques to identify false positives and false negatives based on previous analysis of test suites provided by NIST.
I believe the expected results for the "Behavioral malware and intrusion analysis" would help me improving my knowledge on the machine learning field which I could then apply to my research goals. I also know OWASP is interested in source code static analysis, so being involved with OWASP would also be good in that matter.
As for the prerequisites, I am taking a machine learning course in coursera right now, but I have little experience with android (I do have the environment for android development running in my computer and would have no problem picking it up by reading the seraphimdroid code). Right now, my favorite programming languages are Perl, Ruby, Shell and Python, but it would be ok to work with Java. I do understand CSV and XML and have wirked with both in different programming languages before.
Are there any tasks I should accomplish before applying for this project? Also, is there a list of scientific papers you would recommend for the first item in the expected results ("Reviewing scientific literature and find feasible approach we can take") or finding related papers are also part of it?
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