The presentation discusses the use of emotion analysis and acoustic speech features in the process of situation assessment and decision-making in the context of cybersecurity. The application of emotion analysis, such as stress or frustration, helps detect potential threats in online interactions, such as phishing or social engineering attacks. Acoustic speech features, such as tone of voice and speech rhythm, can be used to identify unauthorized individuals in communication systems or in analyzing conversations related to cyberattacks. The integration of emotions and acoustic features provides an innovative tool for early threat detection and improving the effectiveness of security systems in the field of cybersecurity.
