Abstract
Cyber analysts must work long hours and under intense pressure all while performing complex mental tasks. Research is needed to improve the execution of their tasks. We describe a research plan that can be used to provide cyber analysts with the assistance they need using adaptive aids. The Multi-Level Cognitive Cybernetics (MLCC) [1] approach provides a methodological approach to studying adaptive automation and advancing its development across multiple levels of analysis. We follow up on a previous paper [1] by focusing on how MLCC can be used to improve cyber analyst tasks. We use the breakdown of cyber situation awareness by D’Amico and Whitley [2] to analyze the different cyber tasks and provide general examples of aids that may assist with each of the three stages. A more in-depth example of a specific type of cyber adaptive aid is then provided. We conclude with a call for action to expand adaptive automaton into the cyber realm.
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References
Cassenti, D.N., Gamble, K.R., Bakdash, J.Z.: Multi-level cognitive cybernetics in human factors. In: Hale, K.S., Stanney, K.M. (eds.) Advances in Neuroergonomics and Cognitive Computing, pp. 315–326. Springer, New York (2016)
D’Amico A., Whitley K.: The real work of computer network defense analysts. In: Goodall, J.R., Conti, G., Ma, K.L. (eds.) VizSEC 2007, pp. 19–37. Springer, Berlin (2008)
Gootman, S.: OPM hack: The most dangerous threat to the federal government today. J. App. Sec. Res. 11, 517–525 (2016)
Gutzwiller, R.S., Fugate, S., Sawyer, B.D., Hancock, P.A.: The human factors of cyber network defense. In: Proceedings of the Human Factors and Ergonomics Society, pp. 322–326. Sage, Los Angeles, September 2015
Maqbool, Z., Makhijani, N., Pammi, C., Dutt, V.: Effects of motivation: rewarding analysts for good cyber-attack detection may not be the best strategy. Hum. Fac. 59, 420–431 (2017)
Gonzalez, C., Ben-Asher, N., Oltramari, A., Lebiere, C.: Cognition and technology. In: Kott, A., Wang, A., Erbacher, R. (eds.) Cyber Defense and Situational Awareness, pp. 93–117. Springer, Switzerland (2014)
Boyce, M.W., Duma, K.M., Hettinger, L.J., Malone, T.B., Wilson, D.P., Lockett-Reynolds, J.: Human performance in cybersecurity: a research agenda. In: Proceedings of the Human Factors and Ergonomics Society, pp. 1115–1119. Sage, Los Angeles (2011)
Alpcan, T., BaÅŸar, T.: Network security: A decision and Game-Theoretic Approach. Cambridge University Press, Cambridge (2010)
Knott, B.A., Mancuso, V.F., Bennett, K., Finomore, V., McNeese, M., McKneely, J.A., Beecher, M.: Human factors in cyber warfare: alternative perspectives. In: Proceedings of the Human Factors and Ergonomics Society, pp. 399–403. Sage, Los Angeles (2013)
Wiener, N.: Cybernetics or Control and Communication in the Animal and the Machine. John Wiley & Sons, New York (1948)
Kaber, D.B., Endsley, M.R.: The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task. Theo. Iss. Ergon. Sci. 5, 113–153 (2004)
Dutt, V., Moisan, F., Gonzalez, C.: Role of intrusion-detection systems in cyber-attack detection. In: Nicholson, D. (ed.) Advances in Human Factors in Cybersecurity, pp. 97–110. Springer, Cham (2016)
Segerstrom, S.C., Nes, L.S.: Heart rate variability reflects self-regulatory strength, effort, and fatigue. Psychol. Sci. 18, 275–281 (2007)
Recarte, M.A., Nunes, L.M.: Effects of verbal and spatial-imagery tasks on eye fixations while driving. J. Exp. Psy. App. 6, 31–43 (2000)
Cassenti, D.N., Veksler, V.D.: Using cognitive modeling for adaptive automation triggering. In: Cassenti, D.N. (ed.) Advances in Human Factors in Modeling and Simulation, pp. 378–390). Springer, New York (2017)
Schraagen, J.M., Chipman, S.F., Shalin, V.L. (eds.): Cognitive Task Analysis. Lawrence Erlbaum, Mahwah (2000)
D’Amico, A., Whitley, K., Tesone, D., O’Brien, B., Roth, E.: Achieving cyber defense situational awareness: a cognitive task analysis of information assurance analysts. In: Proceedings of Human Factors and Ergonomics Society, pp. 229–233. Sage, Los Angeles (2005)
Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors 37, 32–64 (1995)
Eppler, M.J., Mengis, J.: The concept of information overload: a review of literature from organization science, accounting, marketing, MIS, and related disciplines. Inf. Soc. 20, 325–344 (2004)
Arora, A., Dutt, V.: Cyber security: evaluating the effects of attack strategy and base rate through instance based learning. In: Proceedings of International Conference on Cognitive Modeling, pp. 336–341. ICCM, Ottawa (2013)
Dutt, V., Ahn, Y.S., Gonzalez, C.: Cyber situation awareness modeling detection of Okaycyber-attacks with instance-based learning theory. Hum. Factors 55, 605–618 (2013)
Aggarwal, P., Gonzalez, C., Dutt, V.: Cyber-security: role of deception in cyber-attack detection. In: Nicholson, D. (ed.) Advances in Human Factors in Cybersecurity, pp. 85–96. Springer, New York (2016)
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Cassenti, D.N., Veksler, V.D., Hoffman, B. (2019). Adaptive Automation in Cyber Security. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2018. Advances in Intelligent Systems and Computing, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-94223-0_27
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