Hossain, Mohammad NaveedHassan, Md. MahediMonir, Raiyan JanikSayeed, Md. ShabaWajiha, ShairaWazid Ullah S.M.2026-09-142026-09-142023-01-01M. N. Hossain, M. M. Hassan, R. J. Monir, M. S. Sayeed, S. Wajiha and S. M. Wazid Ullah, "Cyber Security and People: Human Nature, Psychology, and Training Affect User Awareness, Social Engineering, and Security Professional Education and Preparedness," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307467.97983503350952-s2.0-85179851127https://hdl.handle.net/10361/29890This work focuses on how machine learning methods may be used to identify threats and provide countermeasures. Security threats and vulnerabilities pose significant difficulties in today's digital world. Algorithms trained with machine learning can sift through massive volumes of data, look for trends, and spot possible security breaches as they happen. These algorithms can offer preventative security measures and actions because they use sophisticated analytics and predictive models. This abstract delves into the use of machine learning to bolster security, focusing on its potential to improve threat detection and provide implementable suggestions for shoring up overall security.5 Pagesen-USMachine learning algorithmsPsychologyFocusingMachine learningPredictive modelsPrediction algorithmsSecurity detectionThreat detectionRisk mitigationComputer security.Computer networks--Security measures.Conference Proceeding10.1109/ICCCNT56998.2023.10307467