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Type Inference on Executables

delete2016-05-02
delete44
PRE
AI
J
Juan Caballero *
Z
Zhiqiang Lin *
DOI:10.1145/2896499delete
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摘要

摘要

En 中文
In many applications, source code and debugging symbols of a target program are not available, and the only thing that we can access is the program executable. A fundamental challenge with executables is that, during compilation, critical information such as variables and types is lost. Given that typed variables provide fundamental semantics of a program, for the last 16 years, a large amount of research has been carried out on binary code type inference, a challenging task that aims to infer typed variables from executables (also referred to as binary code). In this article, we systematize the area of binary code type inference according to its most important dimensions: the applications that motivate its importance, the approaches used, the types that those approaches infer, the implementation of those approaches, and how the inference results are evaluated. We also discuss limitations, underdeveloped problems and open challenges, and propose further applications.
Keyword:
Languages
Security
Type inference
program executables
binary code analysis
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

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28
论文数:
2.5K
被引数:
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机构

I
imdea software institute
学者数:
63
论文数: 45
被引数: 0
U
university of texas system
学者数:
18.5W
论文数: 15.6W
被引数: 210
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