| Title | Oppositional Human Factors in Cybersecurity: A Preliminary Analysis of Affective States |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Ferguson-Walter, Kimberly J., Gutzwiller, Robert S., Scott, Dakota D., Johnson, Craig J. |
| Conference Name | 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) |
| Keywords | Affect and Emotions, computer security, Conferences, critical infrastructure, cybersecurity, deception, Human Behavior, human factors, Oppositional Human Factors, psychology, pubcrawl, Qualitative Data Analysis, software engineering, Task Analysis |
| Abstract | The need for cyber defense research is growing as more cyber-attacks are directed at critical infrastructure and other sensitive networks. Traditionally, the focus has been on hardening system defenses. However, other techniques are being explored including cyber and psychological deception which aim to negatively impact the cognitive and emotional state of cyber attackers directly through the manipulation of network characteristics. In this study, we present a preliminary analysis of survey data collected following a controlled experiment in which over 130 professional red teamers participated in a network penetration task that included cyber deception and psychological deception manipulations [7]. Thematic and inductive analysis of previously un-analyzed open-ended survey responses revealed factors associated with affective states. These preliminary results are a first step in our analysis efforts and show that there are potentially several distinct dimensions of cyber-behavior that induce negative affective states in cyber attackers, which may serve as potential avenues for supplementing traditional cyber defense strategies. |
| DOI | 10.1109/ASEW52652.2021.00040 |
| Citation Key | ferguson-walter_oppositional_2021 |
Oppositional Human Factors in Cybersecurity: A Preliminary Analysis of Affective States