Abstract:
In this chapter, we will discuss the basics of Natural Language Processing (NLP) and its significance in Cyber security domain. It also discusses the application of Natural Language Processing (NLP) methods in cyber security, focusing on its increasing importance in detecting, preventing, and responding to cyber attacks. NLP approaches like text preprocessing; named entity recognition, sentiment analysis, and machine translation are utilized to process enormous amounts of unstructured text data from emails, logs, and forums. Major applications are phishing detection, threat intelligence, social engineering detection, malware analysis, and incident response automation. While NLP improves cyber threat analysis and operational effectiveness, it also presents challenges in terms of data privacy, model interpretability, and false positives. The chapter ends by outlining future directions, including real-time threat detection, multilingual solutions, and autonomous security systems, highlighting NLP's revolutionary potential in enhancing cyber defense mechanisms
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