Analysing Language-Based Cyber Threats: An Examination of Cybersecurity for Chinese Text

Bruce Mills
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Abstract

Language barriers can impede effective communication and collaboration among cybersecurity professionals who speak different languages, potentially leading to misinterpretations of security policies, threat intelligence, and incident reports, thereby creating gaps in defense strategies. This paper, serving as a theoretical essay and methods paper, delves into the differences between English and Chinese languages within the realm of cybersecurity. It demonstrates how selected Chinese texts undergo processing using human-created natural language processing (NLP) code, employing programming algorithms and Python language libraries to extract meaningful insights for decision-making purposes. Additionally, the paper aims to enhance the understanding of the Chinese language among security experts, enabling them to glean valuable insights into the dynamic international Anglo-Sino cyber environment. Throughout the document, examples make reference to the Republic of China (ROC), also known as Taiwan, and the People’s Republic of China (PRC), colloquially referred to as Mainland China. Finally, the paper presents an abstract foundation for proactive cybersecurity measures by pointing out NLP and SA hazards and how they may be mitigated.
分析基于语言的网络威胁:对中文文本网络安全的研究
语言障碍会阻碍讲不同语言的网络安全专业人员之间的有效沟通与合作,可能导致对安全政策、威胁情报和事件报告的误解,从而造成防御策略的漏洞。本文既是一篇理论文章,也是一篇方法论文,深入探讨了网络安全领域中英文之间的差异。它展示了如何使用人工创建的自然语言处理(NLP)代码对选定的中文文本进行处理,并利用编程算法和 Python 语言库提取有意义的见解,以用于决策目的。此外,本文还旨在加强安全专家对中文的理解,使他们能够在动态的中英国际网络环境中获得有价值的见解。本文通篇举例说明了中华民国(ROC)(又称台湾)和中华人民共和国(PRC)(俗称中国大陆)。最后,本文通过指出 NLP 和 SA 的危害以及如何减轻这些危害,为积极主动的网络安全措施奠定了抽象的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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