Malware on smartphones: collection, analysis, and defensive measures
Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science), Computing Systems , University of California, University of California at Santa Barbara, Department of Computer Science , Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science) , University of California , VU
Start a new DMP in Loading
Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science), Computing Systems , University of California, University of California at Santa Barbara, Department of Computer Science , Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science) , University of California , VU
Is the amount of malicious software on smartphones growing? Sadly, we lack the tools to analyze smartphone applications in sufficient detail to decide whether or not software is malicious or not, and if so, what it does exactly. In this project an environment will be developed to gather and analyze malware on smartphones and new techniques to analyze the software in detail, using both static and dynamic analysis. Building on previous work of our groups (like TraceDroid and Andrubis), we plan to make our research efforts available to external parties so that they can submit samples for analysis also.
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