Abstract
Human Interactive Proofs (HIPs) are a class of tests used to counter automated tools. HIPs are based on the discrimination between actions executed by humans and activities undertaken by computers. Several types of HIPs have been proposed, based on hard-to-solve Artificial Intelligence problems, and they can be classified in three major categories: text-based, audio-based and image-based. In this chapter, we give a detailed overview of the currently used anti-bot strategies relying on HIPs. We present their main properties, advantages, limits and effectiveness.
Cite
CITATION STYLE
Basso, A., & Bergadano, F. (2010). Anti-bot Strategies Based on Human Interactive Proofs. In Handbook of Information and Communication Security (pp. 273–291). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-04117-4_15
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