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

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.