Research and Applications of Natural Language Processing in Cybersecurity

Dear Colleagues,

Natural language processing (NLP) has become increasingly valuable in the field of cybersecurity due to its ability to process and understand human language. It has enabled the development of sophisticated tools and applications that aid in the detection, prevention, and mitigation of cyber threats. As NLP technology continues to advance, its applications in cybersecurity are likely to grow, making the defense against cyber threats more effective and efficient. However, it is essential to remain aware of potential challenges, such as adversarial attacks on NLP models, data privacy concerns, and the need for robust NLP models capable of handling complex and diverse cybersecurity texts. This Special Issue focuses on bringing together contemporary research as it relates to the applications of NLP in cybersecurity as well as the security of NLP models and applications. For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: cyber threat hunting, threat intelligence and information extraction, sentiment analysis for security alerts, malware analysis, phishing detection, vulnerability assessment and patch management, user behavior analysis, natural language generation for reporting, big data and machine learning analytics for cybersecurity, and digital forensics.

I look forward to receiving your contributions.

Dr. Haruna Isah
Guest Editor

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• threat intelligence and information extraction
• phishing detection
• natural language generation for reporting
• machine learning analytics for cybersecurity
• compliance and policy management
• multilingual threat analysis
• security chatbots and virtual assistants
• log analysis and anomaly detection