Baganha, Polyana Santos Fonseca2022-11-042022-11-042018-06-15PEREIRA, Lucas Carvalho; BITAR, Yasmin Adla da Costa. Estratégias inteligentes de segurança para transação com cartão. 2018. Trabalho de Conclusão de Curso (Bacharelado em Engenharia de Computação) – Centro Universitário do Estado do Pará, Belém, 2018.https://repositorio.cesupa.br/handle/prefix/140As time goes by, we realize that technology’s evolution is very consistent in society and our life. One of the branches that has grown in this period was in the commercial area, with new payment options (like credit card, debit card, internet banking, among other choices). However, this progress has positive and negative points. One of the negative points one could mention are hackers: people that observe and use system’s weakness for self-benefit. There are many reasons why hackers do it, for instance, for self-realization and financial return. Credit card utilization is getting more frequent each day due to commercial transactions by mobile devices. Information security needs to increase in order to prevent credit card cloning and other forms of cyber-attacks. This study aims to build a methodology using hardware and software. The purpose is to increase security in credit and debit card transactions, minimizing infrastructure related problems, like credit card cloning. Cryptography transactions and artificial intelligence (Pattern Recognitions) applied to authentication multi protocols will be studied. We will also look at improving authentication to increase the security. Cryptography will be used to protect the client’s data along the way. Pattern recognition is the knowledge used to classify and recognize in and out information in a credit card machine, like digital impression, iris and voice patterns.Acesso Abertohttp://creativecommons.org/licenses/by-nc-nd/3.0/br/Inteligência ArtificialSegurança de dadosCriptografiaEngenharia de softwareReconhecimento de padrõesSistemas inteligentesENGENHARIASTrabalho de Conclusão de Curso