Adaptive Automation in Cyber Security

  • Daniel N. CassentiEmail author
  • Vladislav D. Veksler
  • Blaine Hoffman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 780)


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.


Cyber security Cybernetics Cognitive psychology Human factors Research methods 


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Copyright information

© Springer International Publishing AG, part of Springer Nature (outside the USA) 2019

Authors and Affiliations

  • Daniel N. Cassenti
    • 1
    Email author
  • Vladislav D. Veksler
    • 1
  • Blaine Hoffman
    • 1
  1. 1.Human Research and Engineering DirectorateUnited States Army Research LaboratoryAberdeen Proving GroundUSA

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