Deterrence with Imperfect Attribution
Motivated by recent developments in cyberwarfare, we study deterrence in a world where at-tacks cannot be perfectly attributed to attackers. In the model, each ofnattackers may attackthe defender. The defender observes a noisy signal that probabilistically attributes the attack.The defender may re...
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| Format: | Article |
| Language: | English |
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Cambridge University Press (CUP)
2021
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| Online Access: | https://hdl.handle.net/1721.1/130440 |