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Maximum Stack Memory Monitoring Method Assisted by Static Analysis of the Stack Usage Profile

机译:堆栈使用情况配置文件的静态分析辅助的最大堆栈内存监视方法

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As IoT permeates through industry in general, the safety assurances of IoT will become a major issue. One of the major safety issues, stack overflow, is a bothersome and difficult problem because it is hard to discover during design and to prevent. Many related studies for preventing stack overflow have used two general methods. The static analysis method is employed before a program runs and estimates the program's probable maximum stack memory usage. The dynamic analysis method is used to monitor for stack overflows during run-time. Based on those prior works, this paper introduces a method for monitoring stack memory based on static analysis of the maximum stack memory usage profile. We anticipate that applying the proposed approach will prevent stack overflow in an efficient manner.
机译:随着物联网在整个行业中的渗透,物联网的安全保证将成为一个主要问题。堆栈溢出是主要的安全问题之一,这是一个麻烦而又棘手的问题,因为在设计过程中很难发现和预防。许多有关防止堆栈溢出的研究都使用了两种通用方法。在程序运行之前采用静态分析方法,并估计程序可能的最大堆栈内存使用率。动态分析方法用于监视运行时堆栈是否溢出。基于这些先前的工作,本文介绍了一种基于对最大堆栈内存使用情况配置文件的静态分析来监视堆栈内存的方法。我们预计,应用建议的方法将以有效的方式防止堆栈溢出。

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