Research data are fragile and subject to classical measurement error as well as to the risk of manipulation. This also applies to survey data which might be affected by deviant behavior at different stages of the data collection process. Assuring data quality requires focusing on the incentives to which all actors in the process are exposed. Relevant actors and some specific incentives are pres...

Deterrence theory has received considerable attention in recent years. However, scholars have begun to call for research beyond the deterrence approach on security behaviors, and argue that the theory of emotion should not be omitted from information systems security decision making [15, 81]. In this research, we examine and distinguish effects of anger and fear on perceived costs of sanctions ...

We present a game-theoretic model for the spread of deviant behavior in online social networks. We utilize a two-strategy framework wherein each player’s behavior is classified as normal or deviant and evolves according to the cooperate-defect payoff scheme of the classic prisoner’s dilemma game. We demonstrate convergence of individual behavior over time to a final strategy vector and indicate...

The problem of learning behavior patterns from sensor data arises in many applications including smart environments, video surveillance, network analysis, human-robot interaction, and ambient assisted living. Our focus is on detecting behavior patterns that deviate from regular behaviors and might represent a security risk, health problem, or any other abnormal behavior contingency. In other wo...

Adversarial behavioral has been observed in many different contexts. In this paper we address the problem of adversarial behavior in the context of clandestine networks. We use data from a massively multiplayer online role playing game to illustrate the behavioral and structural signatures of deviant players change over time as a response to "policing" activities of the game administrators. Pre...