@conference {1514268,
	title = {An Exploratory Study of a Masking Strategy of Cyberdeception Using CyberVAN},
	booktitle = {64th Human Factors and Ergonomics Society (HFES) Annual Conference},
	year = {2020},
	abstract = {During the network reconnaissance process, attackers scan the network to gather information before
launching an attack. This is a good chance for defenders to use deception and disrupt the attacker{\textquoteright}s
learning process. In this paper, we present an exploratory experiment to test the effectiveness of a
masking strategy (compared to a random masking strategy) to reduce the utility of attackers. A
total of 30 human participants (in the role of attackers) are randomly assigned to one of the two
experimental conditions: Optimal or Random (15 in each condition). Attackers appeared to be more
successful in launching attacks in the optimal condition compared to the random condition but the
total score of attackers was not different from the random masking strategy. Most importantly,
we found a generalized tendency to act according to the certainty bias (or risk aversion). These
observations will help to improve the current state-of-the-art masking algorithms of cyberdefense.},
	author = {Palvi Aggarwal and Thakoor, Omkar and Mate, Aditya and Tambe, Milind and Edward A. Cranford and Lebiere, Christian and Gonzalez, Cleotilde}
}
