NDLI: DyKA: light-weight dynamic kernel analyzing framework based on binary translation method

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DyKA: light-weight dynamic kernel analyzing framework based on binary translation method

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DyKA: light-weight dynamic kernel analyzing framework based on binary translation method

Content Provider	ACM Digital Library
Author	Lee, Dongwoo Eom, Young Ik Jun, Hyung Kook Kim, Won Tae
Abstract	Platform, which is based on typical OS, has been widely used in various areas from smart phone to TV. Along with this, the need for kernel analyzer has also grown up in order to develop and debug the kernel and its component effectively. Although previous approaches provide us some information about the target, that information is no more than hardware state, or primitive memory map, which is hard to understand. Moreover they cause an amount of overheads during analysis, so that analysis has been unable to work on environment as real. For applications some researches have been studied the analyzer using binary translation, and now it is widely used. Adopting their ideas, we propose dynamic kernel analyzer: DyKA. Kernel analyzers mainly focus on not kernel itself, but its plugins like device driver since the plugins comprise a large portion of OS development. Because of its locality, we should pay attention to the quality of the target code after translation in order to make the dynamic analyzer effective. Thus we apply some optimizations with DyKA as considering the target attribute. We implement the idea of DyKA on Linux system, and make sure, that it could analyze the target without a huge overhead, by experimental evaluation.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450311724
DOI	10.1145/2184751.2184807
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-02-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Register reallocation Kernel analysis Binary translation
Content Type	Text
Resource Type	Article

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