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A Decade of Development of Mental Models in Cybersecurity and Lessons for the Future

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Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Mental models are essential in learning how to adapt to new and evolving circumstances. The landscape of best practices in cybersecurity is a constantly changing area, as the list of best practices evolves in response to the increasing complexity and scope of threats. In response, users have adapted to the threats and corresponding countermeasures with mental models that simplify the complex networked environments that they inhabit. This paper presents an overview that spans over a decade of research in mental models of users when dealing with cybersecurity threats and corresponding security measures in different kinds of environments. The lessons from over a decade of research in mental models for cybersecurity offer valuable insights about how users learn and adapt, and how their backgrounds and situational awareness play a critical role in shaping their mental models about cybersecurity.

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References

  1. Threatlocker: 12 steps to protect against ransomware. https://www.threatlocker.com/12-steps-to-protect-against-ransomware/. Accessed 16 May 2022

  2. IBM Cyber Security Intelligence Index Report. https://www.ibm.com/security/threat-intelligence/ (2021). Accessed 16 May 2022

  3. Richardson, G.P., Andersen, D.F., Maxwell, T.A., Stewart, T.R.: Foundations of mental model research. In: Proceedings of the 1994 International System Dynamics Conference (1994)

    Google Scholar 

  4. Rowe, A.L., Cooke, N.J., Hall, E.P., Halgren, T.L.: Toward an online knowledge assessment methodology: Building on the relationship between knowing and doing. J. Exp. Psychol. Appl. 3–47 (1996)

    Google Scholar 

  5. Volkamer, M., Renaud, K.: Mental models—general introduction and review of their application to human-centered security. In: Number Theory and Cryptography, pp. 255–280. Springer, Berlin, Heidelberg (2013)

    Google Scholar 

  6. Morgan, G., Fischoff, B., Bostrom, A., Atman, C.J.: Creating an expert model of the risk. In: Risk Communication: A Mental Models Approach, pp. 34–61 (2002)

    Google Scholar 

  7. Fulton, K.R., Gelles, R., McKay, A., Abdi, Y., Roberts, R., Mazurek, M.L.: The effect of entertainment media on mental models of computer security. In: Proceedings of the Fifteenth Symposium on Usable Privacy and Security ({SOUPS} 2019), pp. 79–95 (2019)

    Google Scholar 

  8. Castelfranchi, C., Falcone, R.: Trust is much more than subjective probability: mental components and sources of trust. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (2000)

    Google Scholar 

  9. FBI: 2016 Internet crime report. https://www.fbi.gov/news/stories/ic3-releases-2016-internet-crime-report. Accessed 16 May 2022

  10. Akhawe, D., Felt, A.P.: Alice in warning-land: a large-scale field study of browser security warning effectiveness. In: Proceedings of the 22nd USENIX Security Symposium, pp. 257–272 (2013)

    Google Scholar 

  11. Porter-Felt, A.P., Reeder, R.W., Almuhimedi, H., Consolvo, S.: Experimenting at scale with google chrome’s SSL warning. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2667–2670 (2014)

    Google Scholar 

  12. NCSC: The problems with forcing regular password expiry. https://www.ncsc.gov.uk/blog-post/problems-forcing-regular-password-expiry#:~:text=The%20NCSC%20now%20recommend%20organisations,of%20long%2Dterm%20password%20exploitation. Accessed 16 May 2022

  13. Cotoranu, A., Chen, L.C.: Applying text analytics to examination of end users’ mental models of cybersecurity. In: AMCIS 2020 Proceedings, vol. 10 (2020)

    Google Scholar 

  14. Camp, L.J.: Mental models of privacy and security. IEEE Technol. Soc. Mag. 28(3), 37–46 (2009)

    Article  Google Scholar 

  15. Blythe, J., Camp, L.J.: Implementing mental models. In: 2012 IEEE Symposium on Security and Privacy Workshops, pp. 86–90 (2012)

    Google Scholar 

  16. Wash, R., Rader, E.: Influencing mental models of security: a research agenda. In: Proceedings of the 2011 New Security Paradigms Workshop, pp. 57–66 (2011)

    Google Scholar 

  17. Prettyman, S.S., Furman, S., Theofanos, M., Stanton, B.: Privacy and security in the brave new world: the use of multiple mental models. In: Proceedings of the International Conference on Human Aspects of Information Security, Privacy, and Trust, pp. 260–270 (2015)

    Google Scholar 

  18. Houser, A., Bolton, M.L.: Formal mental models for inclusive privacy and security. In: Proceedings of SOUPS (2017)

    Google Scholar 

  19. Andrade, R.O., Yoo, S.G.: Cognitive security: a comprehensive study of cognitive science in cybersecurity. J. Inf. Secur. Appl. 48, 102352 (2019)

    Google Scholar 

  20. Raja, F., Hawkey, K., Beznosov, K.: Revealing hidden context: improving mental models of personal firewall users. In: Proceedings of the 5th SOUPS (2009)

    Google Scholar 

  21. Wu, J., Zappala, D.: When is a tree really a truck? Exploring mental models of encryption. In: 14th Proceedings of ({SOUPS} 2018), pp. 395–409 (2018)

    Google Scholar 

  22. Theofanos, M.F., Pfleeger, S.L.: Guest editors’ introduction: shouldn’t all security be usable? IEEE Secur. Priv. 9(2), 12–17 (2011)

    Article  Google Scholar 

  23. Theofanos, M.: Is usable security an oxymoron? Computer 53(2), 71–74 (2020)

    Article  Google Scholar 

  24. Oltramari, A., Henshel, D.S., Cains, M., Hoffman, B.: Towards a human factors ontology for cyber security. Stids 26–33 (2015)

    Google Scholar 

  25. Mai, A., Pfeffer, K., Gusenbauer, M., Weippl, E., Krombholz, K.: User mental models of cryptocurrency systems—a grounded theory approach. In: Proceedings of the Sixteenth Symposium on Usable Privacy and Security ({SOUPS}), pp. 341–358 (2020)

    Google Scholar 

  26. Tversky, A., Kahneman, D.: The framing of decisions and the psychology of choice. Science 211(4481), 453–458 (1981)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  27. Adams, A., Sasse, M.A.: Users are not the enemy. Commun. ACM 42(12), 40–46 (1999)

    Article  Google Scholar 

  28. Degani, A., Heymann, M.: Formal verification of human-automation interaction. Hum. Factors 44(1), 28–43 (2002)

    Article  MATH  Google Scholar 

  29. Wash, R.: Folk models of home computer security. In: Proceedings of the Sixth Symposium on Usable Privacy and Security, pp. 1–16 (2010)

    Google Scholar 

  30. Wash, R., Rader, E.: Too much knowledge? Security beliefs and protective behaviors among united states internet users. In: Proceedings of SOUPS (2015)

    Google Scholar 

  31. Chen, J.: Risk communication in cyberspace: a brief review of the information-processing and mental models approaches. Curr. Opin. Psychol. 36, 135–140 (2020)

    Article  Google Scholar 

  32. Brase, G.L., Vasserman, E.Y., Hsu, W.: Do different mental models influence cybersecurity behavior? Evaluations via statistical reasoning performance. Front. Psychol. 8, 1929 (2017)

    Article  Google Scholar 

  33. Agrawal, N., Zhu, F., Carpenter, S.: Do you see the warning? Cybersecurity warnings via nonconscious processing. In: Proceedings of the 2020 ACM Southeast Conference, pp. 260–263 (2020)

    Google Scholar 

  34. Proctor, R.W., Vu, K.P.L.: Human information processing: an overview for human-computer interaction. In: The Human-Computer Interaction Handbook, pp. 69–88 (2007)

    Google Scholar 

  35. Breakwell, G.M.: Risk communication: factors affecting impact. Br. Med. Bull. 56(1), 110–120 (2000)

    Article  Google Scholar 

  36. Fagan, M., Khan, M.M.H., Buck, R.: A study of users’ experiences and beliefs about software update messages. Comput. Hum. Behav. 51, 504–519 (2015)

    Article  Google Scholar 

  37. Wogalter, M.S., Laughery, K.R., Mayhorn, C.B.: Communication-human information processing stages in consumer product warnings. In: Human Factors and Ergonomics in Consumer Product Design, pp. 41–67. CRC Press (2011)

    Google Scholar 

  38. Wogalter, M.S.: Communication-human information processing (C-HIP) model in forensic warning analysis. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds.) Proceedings of the 20th Congress of the International Ergonomics Association, Advances in Intelligent Systems and Computing, p. 821 (2019)

    Google Scholar 

  39. Conzola, V., Wogalter, M.: A communication–human information processing (C–HIP) approach to warning effectiveness in the workplace. J. Risk Res. 4(4), 309–322 (2001)

    Article  Google Scholar 

  40. Aliperti, G., Nagai, H., Cruz, A.M.: Communicating risk to tourists: a mental models approach to identifying gaps and misperceptions. Tour. Manag. Perspect. 33, 100615 (2020)

    Article  Google Scholar 

  41. Lazrus, H., Morss, R.E., Demuth, J.L., Lazo, J.K., Bostrom, A.: “Know what to do if you encounter a flash flood”: mental models analysis for improving flash flood risk communication and public decision making. Risk Anal. 36(2), 411–427 (2016)

    Article  Google Scholar 

  42. Stevenson, M., Taylor, B.J.: Risk communication in dementia care: family perspectives. J. Risk Res. 21(6), 692–709 (2018)

    Article  Google Scholar 

  43. Norman, D.A.: Some Observations on Mental Model Models. Hillsdale, NJ (1983)

    Google Scholar 

  44. Van den Berg, J.: Grasping cybersecurity: a set of essential mental models. In: European Conference on Cyber Warfare and Security, p. 534 (2019)

    Google Scholar 

  45. Nixon, J., McGuinness, B.: Framing the human dimension in cybersecurity. EAI Endorsed Trans. Secur. Saf. 1(2) (2013)

    Google Scholar 

  46. Still, J.D.: Cybersecurity needs you! Interactions 23(3), 54–58 (2016)

    Article  Google Scholar 

  47. Hernandez, J.: The human element complicates cybersecurity. Defense Systems. https://defensesystems.com/cyber/2010/03/the-human-element-complicates-cybersecurity/189831/. Accessed 16 May 2022

  48. Maier, J., Padmos, A., Bargh, M.S., Wörndl, W.: Influence of mental models on the design of cyber security dashboards. In: Proceedings of VISIGRAPP (3: IVAPP), pp. 128–139 (2017)

    Google Scholar 

  49. Nurse, J.R., Creese, S., Goldsmith, M., Lamberts, K.: Guidelines for usable cybersecurity: past and present. In: Proceedings of the 3rd International Workshop on Cyberspace Safety and Security, pp. 21–26 (2011)

    Google Scholar 

  50. Wästlund, E., Angulo, J., Fischer-Hübner, S.: Evoking comprehensive mental models of anonymous credentials. In: Proceedings of the International Workshop on Open Problems in Network Security, pp. 1–14. Springer, Berlin, Heidelberg (2011)

    Google Scholar 

  51. Stanton, B., Theofanos, M.F., Prettyman, S.S., Furman, S.: Security fatigue. IT Prof. 18(5), 26–32 (2016)

    Article  Google Scholar 

  52. Moon, B., Johnston, C., Moon, S.: A case for the superiority of concept mapping-based assessments for assessing mental models. In: Proceedings of the 8th International Conference on Concept Mapping. Universidad EAFIT, Medellín, Colombia (2018)

    Google Scholar 

  53. Mohamed, M., Chakraborty, J., Dehlinger, J.: Trading off usability and security in user interface design through mental models. Behav. Inf. Technol. 36(5), 493–516 (2017)

    Article  Google Scholar 

  54. Asgharpour, F., Liu, D., Camp, L.J.: Mental models of security risks. In: Proceedings of the International Conference on Financial Cryptography and Data Security, pp. 367–377. Springer, Berlin, Heidelberg (2007)

    Google Scholar 

  55. Fagan, M., Khan, M.M.H.: To follow or not to follow: a study of user motivations around cybersecurity advice. IEEE Internet Comput. 22(5), 25–34 (2018)

    Article  Google Scholar 

  56. Haney, J.M., Lutters, W.G.: “It’s Scary… It’s Confusing… It’s Dull”: how cybersecurity advocates overcome negative perceptions of security. In: Proceedings of the Fourteenth Symposium on Usable Privacy and Security ({SOUPS}), pp. 411–425 (2018)

    Google Scholar 

  57. Theofanos, M., Stanton, B., Furman, S., Prettyman, S.S., Garfinkel, S.: Be prepared: how US government experts think about cybersecurity. In: Proceedings of the Workshop on Usable Security (USec), Internet Society (2017)

    Google Scholar 

  58. Jones, K.S., Lodinger, N.R., Widlus, B.P., Namin, A.S., Hewett, R.: Do warning message design recommendations address why non-experts do not protect themselves from cybersecurity threats? A review. Int. J. Hum. Comput. Interact. 1–11 (2021)

    Google Scholar 

  59. Kang, R., Dabbish, L., Fruchter, N., Kiesler, S.: “My data just goes everywhere”: user mental models of the internet and implications for privacy and security. In: Proceedings of 2015 SOUPS, pp. 39–52 (2015)

    Google Scholar 

  60. Bartsch, S., Volkamer, M.: Effectively communicate risks for diverse users: a mental-models approach for individualized security interventions. In: INFORMATIK 2013–Informatik angepasst an Mensch, Organisation und Umwelt (2013)

    Google Scholar 

  61. Abu-Salma, R., Redmiles, E.M., Ur, B., Wei, M.: Exploring user mental models of end-to-end encrypted communication tools. In: Proceedings of the 8th USENIX Workshop on Free and Open Communications on the Internet (2018)

    Google Scholar 

  62. Ruoti, S., Seamons, K.: Johnny’s journey toward usable secure email. IEEE Secur. Priv. 17(6), 72–76 (2019)

    Article  Google Scholar 

  63. Zhang-Kennedy, L., Chiasson, S., Biddle, R.: The role of instructional design in persuasion: a comics approach for improving cybersecurity. Int. J. Hum. Comput. Interact. 32(3), 215–257 (2016)

    Article  Google Scholar 

  64. Zielinska, O.A., Welk, A.K., Mayhorn, C.B., Murphy-Hill, E.: Exploring expert and novice mental models of phishing. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 59(1), pp. 1132–1136 (2015)

    Google Scholar 

  65. Day, E.A., Arthur, W., Jr., Gettman, D.: Knowledge structures and the acquisition of a complex skill. J. Appl. Psychol. 86(5), 1022 (2001)

    Article  Google Scholar 

  66. Dorsey, D., Campbell, G.E., Foster, L.F., Miles, D.E.: Assessing knowledge structures: relations with experience and post training performance. Hum. Perform. 12(1), 31–57 (1999)

    Article  Google Scholar 

  67. Goldsmith, T.E., Johnson, P.J., Acton, W.H.: Assessing structural knowledge. J. Educ. Psychol. 83(1), 88 (1991)

    Article  Google Scholar 

  68. Rowe, A.L., Cooke, N.J.: Measuring mental models: choosing the right tools for the job. Hum. Resour. Dev. Q. 6(3), 243–255 (1995)

    Article  Google Scholar 

  69. Van der Veer, G., Melguize, M.: Mental models. In: Jacko, J.A. Sears, A. (eds.) The Human Computer Interaction Handbook, pp. 52–80. Lawrence Associates, Mahwah, NJ (2003)

    Google Scholar 

  70. Heckle, R., Lutters, W.G., Gurzick, D.: Network authentication using single sign-on: the challenge of aligning mental models. In: Proceedings of the 2nd ACM Symposium on Computer Human Interaction For Management of Information Technology, pp. 1–10 (2008)

    Google Scholar 

  71. Krombholz, K., Busse, K., Pfeffer, K., Smith, M., von Zezschwitz, E.: “If HTTPS were secure, I wouldn’t need 2FA”—end user and administrator mental models of https. In: Proceedings of the 2019 IEEE Symposium on Security and Privacy, pp. 246–263 (2019)

    Google Scholar 

  72. Fritsch, L., Tjostheim, I., Kitkowska, A.: I’m not that old yet! the elderly and us in HCI and assistive technology. In: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) (2018)

    Google Scholar 

  73. Floodeen, R., Haller, J., Tjaden, B.: Identifying a shared mental model among incident responders. In: Proceedings of the 2013 Seventh International Conference on IT Security Incident Management and IT Forensics (2013)

    Google Scholar 

  74. Stobert, E., Barrera, D., Homier, V., & Kollek, D.: Understanding cybersecurity practices in emergency departments. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020)

    Google Scholar 

  75. Shillair, R.: Talking about online safety: a qualitative study exploring the cybersecurity learning process of online labor market workers. In: Proceedings of the 34th ACM International Conference on the Design of Communication (2016)

    Google Scholar 

  76. Kumar, P., Naik, S.M., Devkar, U.R., Chetty, M., Clegg, T.L., Vitak, J.: ‘No telling passcodes out because they’re private’ understanding children’s mental models of privacy and security online. In: Proceedings of the ACM on Human-Computer Interaction (CSCW), vol. 1, pp. 1–21 (2017)

    Google Scholar 

  77. Choong, Y.Y., Theofanos, M.F., Renaud, K., Prior, S.: “Passwords protect my stuff”—a study of children’s password practices. J. Cybersecur. 5(1) (2019)

    Google Scholar 

  78. McGregor, S.E., Watkins, E.A.: “Security by obscurity”: journalists’ mental models of information security. In: Quieting the Commenters: The Spiral of Silence’s Persistent Effect, p. 33 (2016)

    Google Scholar 

  79. Caine, K.E.: Supporting privacy by preventing misclosure. In: Proceedings of the CHI’09 Extended Abstracts on Human Factors in Computing Systems, pp. 3145–3148 (2009)

    Google Scholar 

  80. Sarriegi, J.M., Torres, J.M., Santos, J.: Explaining security management evolution through the analysis of CIOs’ mental models. In: Proceedings of the 23rd International Conference of the System Dynamics Society, Boston (2005)

    Google Scholar 

  81. Henshel, D., Cains, M.G., Hoffman, B., Kelley, T.: Trust as a human factor in holistic cyber security risk assessment. Proc. Manuf. 3, 1117–1124 (2015)

    Google Scholar 

  82. Sørensen, L.T.: User perceived privacy: mental models of users’ perception of app usage. Nord. Balt. J. Inf. Commun. Technol. 1, 1–20 (2018)

    Google Scholar 

  83. Abu-Salma, R., Sasse, M.A., Bonneau, J., Danilova, A., Naiakshina, A., Smith, M.: Obstacles to the adoption of secure communication tools. In: Proceedings of the IEEE Symposium on Security and Privacy, pp. 137–153 (2017)

    Google Scholar 

  84. Renaud, K., Volkamer, M., Renkema-Padmos, A. Why doesn’t Jane protect her privacy? In: Proceedings of the International Symposium on Privacy Enhancing Technologies Symposium, pp. 244–262 (2014)

    Google Scholar 

  85. Bieringer, L., Grosse, K., Backes, M., Krombholz, K.: Mental models of adversarial machine learning (2021). arXiv preprint arXiv:2105.03726

  86. Zimmermann, V., Bennighof, M., Edel, M., Hofmann, O., Jung, J., von Wick, M.: “Home, smart home”—exploring end users’ mental models of smart homes. In: Mensch und Computer 2018-Workshopband (2018)

    Google Scholar 

  87. Yarosh, S., Zave, P.: Locked or not? Mental models of IoT feature interaction. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 2993–2997 (2017)

    Google Scholar 

  88. Shappie, A.T., Dawson, C.A., Debb, S.M.: Personality as a predictor of cybersecurity behavior. Psychol. Popul. Media 9(4), 475 (2020)

    Article  Google Scholar 

  89. Adnan, M., Leak, A., Longley, P.: A geocomputational analysis of Twitter activity around different world cities. Geo-Spat. Inf. Sci. 17(3), 145–152 (2014)

    Article  Google Scholar 

  90. Gil-Clavel, S., Zagheni, E.: Demographic differentials in Facebook usage around the world. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 13, pp. 647–650 (2019)

    Google Scholar 

  91. Srinivasan, S., Diepeveen, S.: The power of the “audience-public”: interactive radio in Africa. Int. J. Press Polit. 23(3), 389–412 (2018)

    Article  Google Scholar 

  92. Dawson, J., Thomson, R.: The future cybersecurity workforce: going beyond technical skills for successful cyber performance. Front. Psychol. 9, 744 (2018)

    Article  Google Scholar 

  93. Garvin, D.A., Wagonfeld, A.B., Kind, L.: Google’s Project Oxygen: Do Managers Matter? Harvard Business School Review, Boston, MA (2013)

    Google Scholar 

  94. Yao, W., Ye, J., Murimi, R., Wang, G.: A survey on consortium blockchain consensus mechanisms (2021). arXiv preprint arXiv:2102.12058

  95. Carlin, D., Burgess, J., O’Kane, P., Sezer, S.: You could be mine (d): the rise of cryptojacking. IEEE Secur. Priv. 18(2), 16–22 (2019)

    Article  Google Scholar 

  96. Yaqoob, I., Ahmed, E., ur Rehman, M.H., Ahmed, A.I.A., Al-Garadi, M.A., Imran, M., Guizani, M.: The rise of ransomware and emerging security challenges in the Internet of Things. Comput. Netw. 129, 444–458 (2017)

    Google Scholar 

  97. Jarjoui, S., Murimi, R., Murimi, R.: Hold my beer: a case study of how ransomware affected an Australian beverage company. In: Proceedings of the International Conference on Cyber Situational Awareness, Data Analytics and Assessment (2021)

    Google Scholar 

  98. Murimi, R.: Use of Botnets for Mining Cryptocurrencies, pp. 359–386. CRC Press, Botnets (2019)

    Google Scholar 

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  1. University of Dallas, Irving, TX, 75062, USA

    Robert Murimi, Sandra Blanke & Renita Murimi

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  1. Robert Murimi
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    Cyril Onwubiko

  2. Dublin City University, Dublin, Ireland

    Pierangelo Rosati

  3. Temple University, Philadelphia, PA, USA

    Aunshul Rege

  4. University of Oxford, Oxford, UK

    Arnau Erola

  5. Lupovis, Glasgow, UK

    Xavier Bellekens

  6. Ain Shams University, Cairo, Egypt

    Hanan Hindy

  7. University of Stavanger, Stavanger, Norway

    Martin Gilje Jaatun

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Murimi, R., Blanke, S., Murimi, R. (2023). A Decade of Development of Mental Models in Cybersecurity and Lessons for the Future. In: Onwubiko, C., et al. Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media. Springer Proceedings in Complexity. Springer, Singapore. https://doi.org/10.1007/978-981-19-6414-5_7

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