Adversarial classification: An adversarial risk analysis approach.

Classification problems in security settings are usually contemplated asconfrontations in which one or more adversaries try to fool a classifier toobtain a benefit. Most approaches to such adversarial classification problemshave focused on game theoretical ideas with strong underlying common knowledgeassumptions, which are actually not realistic in security domains. We providean alternative framework to such problem based on adversarial risk analysis,which we illustrate with several examples. Computational and implementationissues are discussed.