SMISHING E INTELIGÊNCIA ARTIFICIAL
uma Análise baseada em Revisão Sistemática de Literatura sobre as Abordagens e Desafios em Pesquisas Recentes
DOI:
https://doi.org/10.5281/zenodo.22713185Palavras-chave:
Smishing, Machine Learning, Segurança Digital, Short Message ServiceResumo
Este trabalho é baseado em uma Revisão Sistemática de Literatura com o objetivo de analisar o estado da arte do smishing, um golpe digital que utiliza mensagens SMS para enganar usuários e obter dados confidenciais. A análise evidenciou a escassez de coleções de mensagens públicas e centralizadas, o que compromete o desenvolvimento e o treinamento de modelos de aprendizado de máquina. Diante desse cenário, o estudo destaca a necessidade de criação e disponibilização de coleções de mensagens mais acessíveis. Essa iniciativa pode impulsionar pesquisas futuras e contribuir para o fortalecimento da segurança digital frente a ataques de engenharia social cada vez mais sofisticados.
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