HUMAN FACTORS SECURITY ENGINEERING: THE FUTURE OF CYBERSECURITY TEAMS

REFERENCES

• Abawajy, J. (2014). User preference of cyber security awareness delivery methods. Behaviour & Information Technology, 33(3), 237–248. https://doi.org/10.1080/0144929X.2012.708787
   Web of Science ®Google Scholar
• APA. ( n.d.a.). APA dictionary of psychology. Retrieved September 20, 2022, n.d.a. https://dictionary.apa.org/cognition
   Google Scholar
• APA. ( n.d.b.). APA dictionary of psychology. Retrieved September 20, 2022, n.d.b. https://dictionary.apa.org/cognitive-load
   Google Scholar
• APA. ( n.d.c.). APA dictionary of psychology. Retrieved September 20, 2022, n.d.c. https://dictionary.apa.org/perception
   Google Scholar
• Cobb, M. J. (2021). Plugging the skills gap: The vital role that women should play in cyber-security. Computer Fraud & Security, 2018(1), 5–8. https://doi.org/10.1016/S1361-3723(18)30004-6
   Google Scholar
• Cusak, B., & Adedokun, K. (2018). The impact of personality traits on user’s susceptibility to social engineering attacks. In Proceedings of the 16th Australian Information Security Management Conference, Perth, Australia.
   Google Scholar
• Dykstra, J., & Paul, C. L. (2018). Cyber operations stress survey (COSS): Studying fatigue, frustration, and cognitive workload in cybersecurity operations. In Proceedings of the 11th USENIX Workshop on Cyber Security Experimentation and Test, Baltimore, MD.
   Google Scholar
• Gelaspie, H. W., & Karwowski, W. (2017). Human factors in information security culture: A literature review. Advances in Intelligent Systems and Computing, 2017(539), 269–280.
   Google Scholar
• HFES. (n.d.). About HFES: HFES history. Retrieved September 20, 2022, from https://www.hfes.org/about-hfes/hfes-history
   Google Scholar
• IBM. (2021). Cost of a data breach report. Retrieved September 20, 2022, from https://www.ibm.com/security/data-breach
   Google Scholar
• Ki-Aries, D., & Faily, S. (2017). Persona-centred information security awareness. Computers & Security, 70(2017), 663–674. https://doi.org/10.1016/j.cose.2017.08.001
   Google Scholar
• Kullman, K., Buchanan, L., Komlodi, A., & Engel, D. (2020). Mental model mapping method for cybersecurity. In HCI for Cybersecurity, Privacy, and Trust (Vol. 12210, pp. 458–470).
   Google Scholar
• Lahcen, R. A. M., Caulkins, B., Mohapatra, R., & Kumar, M. (2020). Review and insight on the behavioral aspects of cybersecurity. Cybersecurity, 3(10), 1–18. https://doi.org/10.1186/s42400-020-00050-w
   Google Scholar
• Montanez, R., Golob, E., & Xu, S. (2020). Human cognition through the lens of social engineering cyberattacks. Frontiers Psychology, 11(1755), 1–18. https://doi.org/10.3389/fpsyg.2020.01755
   PubMedGoogle Scholar
• Narayanan, S. N., Ganesan, A., Joshi, K., Oates, T., Joshi, A., & Finin, T. (2018). Early detection of cybersecurity threats using collaborative cognition. In Proceedings of the 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), Philadelphia, PA.
   Google Scholar
• Nobles, C. (2022). Stress, burnout, and security fatigue in cybersecurity: A human factors problem. Holistica, 13(1), 49–72. https://doi.org/10.2478/hjbpa-2022-0003
   Google Scholar
• Ogbanufe, O., & Spears, J. (2019). Burnout in cybersecurity professionals. In Proceedings of the 14th Pre-ICIS Workshop on Information Security and Privacy, Munich, Germany.
   Google Scholar
• Parsons, K., McCormac, A., Butavicius, M., & Ferguson, L. (2010). Human factors and information security: Individual, culture and security environment. Defense Technical Information Center.
   Google Scholar
• Pham, H. C., Brenna, L., & Furnell, S. (2019). Information security burnout: Identification of sources and mitigating factors from security demands and resources. Journal of Information Security and Applications, 46(2019), 96–107. https://doi.org/10.1016/j.jisa.2019.03.012
   Google Scholar
• Radanliev, P., De Roure, D., Nurse, J. R. C., Nicolescu, R., Huth, M., Cannady, S., & Montalvo, R. M. (2018). Integration of cyber security frameworks, models and approaches for building design principles for the Internet-of-Things in Industry 4.0. Living in the Internet of Things: Cybersecurity of the IoT. https://doi.org/10.1049/cp.2018.0041
   Google Scholar
• Ros, S., Gonzalez, S., Robles, A., Tobarra, L. L., Caminero, A., & Cano, J. (2020). Analyzing students’ self-perception of success and learning effectiveness using gamification in an online cybersecurity course. Institute of Electrical and Electronics EngineersAccess, 8, 1–11. https://doi.org/10.1109/ACCESS.2020.2996361
   Google Scholar
• Salvendy, G. (Ed.). (2012). Handbook of human factors and ergonomics. John Wiley & Sons, Inc.
   Google Scholar
• Siu, K., Moitra, A., Li, M., Durling, M., Herencia-Zapana, H., Interrante, J., Meng, B., Tinelli, C., Chowdhury, O., Larraz, D., Yahyazadeh, M., Arif, M. F., & Prince, D. (2019). Architectural and behavioral analysis for cyber security. In Proceedings of the 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), https://doi.org/10.1109/DASC43569.2019.9081652
   Google Scholar
• Vanderbilt University. (n.d.). Unconscious bias. Retrieved September 20, 2022, from https://www.vanderbilt.edu/diversity/unconscious-bias/
   Google Scholar
• Xu, H., & Mahenthiran, S. (2021). Users’ perception of cybersecurity, trust and cloud computing providers’ performance. Information and Computer Security, 29(5), 816–835. https://doi.org/10.1108/ICS-09-2020-0153
   Web of Science ®Google Scholar