Automatic Multi-Thread Code Generation for Monitoring Signature-based Control Flow

Kiho Choi, Hyeongrae Kim, Daejin Park, Jeonghun Cho
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Abstract

Signature-based control flow monitoring is a representative technique for detecting control flow errors in run time. However, it is very inefficient and time consuming to manually insert the monitoring code into a monitor-target application. In particular, for performance improvements of control-flow monitoring, implementing a monitoring code that operates in multi-thread makes things more complicated. In this paper, we propose an automatic code-generation framework that automatically translate an application into the control-flow monitorable application. In the proposed framework, the applied technique for control-flow monitoring is based on separate signature-based control-flow monitoring (SSCFM) technique that is able to expect performance improvements in multi-threaded or multi-core environments by separating the signature update and the signature verification on the thread level. The proposed framework automatically analyzes a monitor-target application and generates a SSCFM-applied application based on the analysis results. We anticipate that our automatic multi-thread code generation framework for control flow monitoring lessens the burden in runtime control-flow monitoring field.
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基于签名的控制流监控的自动多线程代码生成
基于签名的控制流监控是在运行时检测控制流错误的一种代表性技术。然而,手动将监视代码插入到监视目标应用程序中是非常低效和耗时的。特别是,对于控制流监视的性能改进,实现在多线程中操作的监视代码会使事情变得更加复杂。在本文中,我们提出了一个自动代码生成框架,可以自动将应用程序转换为控制流可监视的应用程序。在提出的框架中,控制流监控的应用技术是基于独立的基于签名的控制流监控(SSCFM)技术,该技术能够通过在线程级别上分离签名更新和签名验证来期望在多线程或多核环境下的性能改进。该框架自动分析监控目标应用程序,并根据分析结果生成应用sscfm的应用程序。我们期望我们的自动多线程代码生成框架能够减轻运行时控制流监控领域的负担。
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