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Quantifying mixed uncertainties in cyber attacker payoffs
- Source :
- 2015 IEEE International Symposium on Technologies for Homeland Security (HST).
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
Abstract
- Representation and propagation of uncertainty in cyber attacker payoffs is a key aspect of security games. Past research has primarily focused on representing the defender's beliefs about attacker payoffs as point utility estimates. More recently, within the physical security domain, attacker payoff uncertainties have been represented as Uniform and Gaussian probability distributions, and intervals. Within cyber-settings, continuous probability distributions may still be appropriate for addressing statistical (aleatory) uncertainties where the defender may assume that the attacker's payoffs differ over time. However, systematic (epistemic) uncertainties may exist, where the defender may not have sufficient knowledge or there is insufficient information about the attacker's payoff generation mechanism. Such epistemic uncertainties are more suitably represented as probability boxes with intervals. In this study, we explore the mathematical treatment of such mixed payoff uncertainties.
- Subjects :
- Computer Science::Computer Science and Game Theory
Propagation of uncertainty
Mathematical optimization
Computer science
Gaussian
Stochastic game
Computer security
computer.software_genre
symbols.namesake
symbols
Key (cryptography)
Probability distribution
Representation (mathematics)
computer
Game theory
Physical security
Computer Science::Cryptography and Security
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2015 IEEE International Symposium on Technologies for Homeland Security (HST)
- Accession number :
- edsair.doi...........11ca5c1839a7244ba4ae1df5e7cd2a77