What Exactly Determines the Type? Inferring Types with Context

Ligeng Chen
{"title":"What Exactly Determines the Type? Inferring Types with Context","authors":"Ligeng Chen","doi":"10.1109/dsn-s50200.2020.00038","DOIUrl":null,"url":null,"abstract":"Closed-source programs lack crucial information vital for code analysis because that information is stripped on compilation to achieve smaller executable size. Variable type information is fundamental in this process. In this paper, we implement a system called CATI (Context-Assisted Type Inference), which locates variables from stripped binaries and infers 19 types from variables. Experiments show that it infers variable type with 71.2% accuracy on unseen binaries.","PeriodicalId":419045,"journal":{"name":"2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dsn-s50200.2020.00038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Closed-source programs lack crucial information vital for code analysis because that information is stripped on compilation to achieve smaller executable size. Variable type information is fundamental in this process. In this paper, we implement a system called CATI (Context-Assisted Type Inference), which locates variables from stripped binaries and infers 19 types from variables. Experiments show that it infers variable type with 71.2% accuracy on unseen binaries.
到底是什么决定了它的类型?使用上下文推断类型
闭源程序缺乏对代码分析至关重要的关键信息,因为这些信息在编译时被剥离,以实现更小的可执行文件大小。变量类型信息是这个过程的基础。在本文中,我们实现了一个称为CATI(上下文辅助类型推断)的系统,该系统从剥离的二进制文件中定位变量并从变量中推断出19种类型。实验表明,该算法对未见过的二进制数据的变量类型推断准确率为71.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信