INGANNARE LE DIFESE ANTI-BOT: UN APPROCCIO MATEMATICO ALLA GENERAZIONE DI DATI BIOMETRICI

In this thesis, we present MIMIC and KEYCAP, advanced models proficient in emulating human-like mouse and keyboard interactions, effectively challenging biometric anti-bot protections. We scrutinize the state-of-the-art anti-bot systems, unveiling the intricate interplay between bot mechanisms and protective strategies. Through rigorous evaluation, we identify and highlight the strengths and limitations inherent in our models against anti-bot systems. With a focus on the need for constant evolution within the anti-bot field, this research contributes to the ongoing effort of bolstering defenses against increasingly sophisticated bot threats.