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Security defense against long-term and stealthy cyberattacks
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2023 | Decision Support Systems | Citations: 0
Authors: Han, Kookyoung; Choi, Jin Hyuk; Choi, Yunsik; Lee, Gene Moo; Whinston, Andrew B.

Abstract: Modern cyberattacks such as advanced persistent threats have become sophisticate ... Expand

Abstract: Modern cyberattacks such as advanced persistent threats have become sophisticated. Hackers can stay unde tected for an extended time and defenders do not have sufficient countermeasures to prevent advanced cyber attacks. Reflecting on this phenomenon, we propose a game-theoretic model to analyze strategic decisions made by a hacker and a defender in equilibrium. In our game model, the hacker launches stealthy cyberattacks for a long time and the defender decides when to disable a suspicious user based on noisy observations of the user’s activities. Damages caused by the hacker can be enormous if the defender does not immediately ban a suspicious user under certain circumstances, which can explain the emerging sophisticated cyberattacks with detrimental consequences. Our model also predicts that the hacker may opt to be behavioral to avoid worst cases. This is because behavioral cyberattacks are less threatening and the defender decides not to immediately block a sus picious user to reduce cost of false detection. Collapse

Semantic filters: first-hitting-time model

Topics: IT security data breach electronic mail IT security threat intrusion detection system

Methods: first-hitting-time model optimization model

Theories: game theory lemon market theory
Perspective—Chance Explanations in the Management Sciences
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2015 | Organization Science | Citations: 0
Authors: Denrell, Jerker; Fang, Christina; Liu, Chengwei

Abstract: We propose that random variation should be considered one of the most important ... Expand

Abstract: We propose that random variation should be considered one of the most important explanatory mechanisms in the management sciences. There are good theoretical reasons to expect that chance events strongly impact organizational behavior and outcomes. We argue that models built on random variation can provide parsimonious explanations of several important empirical regularities in strategic management and organizational behavior. The reason is that random variation in a structured system can give rise to systematic patterns at the macro level. Here, we define the concept of a chance explanation; describe the theoretical mechanisms by which random variation generates patterns at the macro level; outline how key empirical regularities in management can be explained by chance models; and discuss the implications of chance models for theoretical integration, empirical testing, and management practice. Collapse

Semantic filters: first-hitting-time model

Topics: strategic management organizational productivity

Methods: stochastic model first-hitting-time model theory development

Theories: organizational behavior theory

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Security defense against long-term and stealthy cyberattacks

Perspective—Chance Explanations in the Management Sciences