Abstract
The ARM architecture is presently the chipset of choice for today's smartphones - this demand has spurred new advances in functionality and services, and as the number of smartphones increases, so has the number of applications being migrated to them. As a result, the amount of malware targeting them will also increase. We present our preliminary work on an ARM-based dynamic profiling platform that allows analysts to study malware that targets ARM-based smartphone systems. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Whelan, R., & Kaeli, D. (2010). Toward whole-system dynamic analysis for ARM-based mobile devices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6307 LNCS, pp. 512–513). Springer Verlag. https://doi.org/10.1007/978-3-642-15512-3_38
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