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- W290621168 abstract "The fact that Java is platform independent gives hackers the opportunity to write exploits that can target users on any platform, which has a JVM implementation. To circumvent detection by anti-virus (AV) software, obfuscation techniques are routinely applied to make an exploit more difficult to recognise. Popular obfuscation techniques for Java include string obfuscation and applying reflection to hide method calls; two techniques that can either be used together or independently. This paper shows how to apply partial evaluation to remove these obfuscations and thereby improve AV matching. The paper presents a partial evaluator for Jimple, which is a typed three-address code suitable for optimisation and program analysis, and also demonstrates how the residual Jimple code, when transformed back into Java, improves the detection rates of a number of commercial AV products." @default.
- W290621168 created "2016-06-24" @default.
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- W290621168 date "2015-01-01" @default.
- W290621168 modified "2023-09-25" @default.
- W290621168 title "Partial Evaluation for Java Malware Detection" @default.
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- W290621168 doi "https://doi.org/10.1007/978-3-319-17822-6_8" @default.
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