系统回顾:跨语言编码漏洞分析

Shreyas Sakharkar
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引用次数: 0

摘要

20世纪50年代编码语言的繁荣彻底改变了我们对数字世界的理解和访问方式。当时发明的语言,包括Fortran,至今仍在使用,因为它们的多功能性和支撑我们数字世界和应用程序的大部分旧部分的能力。Fortran,即公式翻译,是一种由IBM实现的编程语言,它缩短了编码设备和语言语法的有效性。Fortran将操作机器所需的语句数量减少了几倍,标志着高效编程新时代的开始。从那时起,数十种语言进入了常规实践,并且多年来越来越多样化。一些现代语言包括Python、Java、JavaScript、C、c++和PHP。这些语言显著地提高了效率,并且具有广泛的用途。Python主要用于网站/软件开发、数据分析、任务自动化、图像处理和平面设计应用程序。另一方面,Java主要用作客户端编程语言。扩展编码语言可以增加可访问性,但也使应用程序面临相关的安全问题。这些安全问题因流行程度和语言而异。之前的研究只关注单个语言,没有对安全性进行评估。本文对不同语言中编码漏洞的严重程度和频率进行了比较研究,并对其使用进行了系统的文献综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Review: Analysis of Coding Vulnerabilities across Languages
The boom of coding languages in the 1950s revolutionized how our digital world was construed and accessed. The languages invented then, including Fortran, are still in use today due to their versatility and ability to underpin a large majority of the older portions of our digital world and applications. Fortran, or Formula Translation, was a programming language implemented by IBM that shortened the apparatus of coding and the efficacy of the language syntax. Fortran marked the beginning of a new era of efficient programming by reducing the number of statements needed to operate a machine several-fold. Since then, dozens more languages have come into regular practice and have been increasingly diversified over the years. Some modern languages include Python, Java, JavaScript, C, C++, and PHP. These languages significantly improved efficiency and also have a broad range of uses. Python is mainly used for website/software development, data analysis, task automation, image processing, and graphic design applications. On the other hand, Java is primarily used as a client-side programming language. Expanding the coding languages allowed for increasing accessibility but also opened up applications to pertinent security issues. These security issues have varied by prevalence and language. Previous research has narrowed its focus on individual languages, failing to evaluate the security. This research paper investigates the severity and frequency of coding vulnerabilities comparatively across different languages and contextualizes their uses in a systematic literature review.
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