Human interaction proofs (HIPs) based on multistable images and Brauer configuration algebras (BCA)

Human Interactive Proofs (HIPs) are an important tool in eCommerce, science and engineering, since they enable secure separation or identification of humans and computer bots. Although, many HIP techniques have been introduced and deployed in practical applications over the last two decades, the challenge of finding a waterproof method remains open. In this paper, we introduce a novel strategy to produce HIPs exploiting Brauer configuration algebras theory. The proposed approach is based on the generation of images of shapes that can be identified by humans but hard to be recognised by a computer program. Several experimental results are reported to demonstrate the robustness and feasibility of the proposed approach.