Autenticação de Sistemas Baseados em Biometria Comportamental
Resumo
O surgimento de avanços tecnológicos demanda métodos de segurança cada vez mais sofisticados para proteger dispositivos pessoais. A utilização de keystrokes para identificação biométrica é promissora, mas ainda pouco explorada, especialmente em sistemas biométricos multimodais. Neste trabalho, propomos um método para monitorar e analisar as interações do usuário com seus dispositivos, extraindo características únicas a partir de keystrokes e utilizando aprendizado de máquina para verificar a identidade do usuário. Nossos experimentos com Random Forest, SVM, KNN e Regressão Logística obtiveram taxas de acurácia superiores a 99%.Referências
Agarwal, N., Danielsen, N. F., Gravdal, P. K., and Bours, P. (2022). Contract cheat detection using biometric keystroke dynamics. In 2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA), pages 15–21.
Dias, T., Vitorino, J., Maia, E., Sousa, O., and Praça, I. (2023). Keyrecs: A keystroke dynamics and typing pattern recognition dataset. Data in Brief, 50:109509.
Grzenda, M., Kaźmierczak, S., Luckner, M., Borowik, G., and Mańdziuk, J. (2023). Evaluation of machine learning methods for impostor detection in web applications. Expert Systems with Applications, 231:120736.
Khan, S., Devlen, C., Manno, M., and Hou, D. (2024). Mouse dynamics behavioral biometrics: A survey. ACM Computing Surveys, 56.
Müller, A. C. and Guido, S. (2016). Introduction to machine learning with Python: a guide for data scientists. ”O’Reilly Media, Inc.”.
Nnamoko, N., Barrowclough, J., Liptrott, M., and Korkontzelos, I. (2022). A behaviour biometrics dataset for user identification and authentication. Data in Brief, 45:108728.
Salmeron-Majadas, S., Baker, R. S., Santos, O. C., and Boticario, J. G. (2018). A machine learning approach to leverage individual keyboard and mouse interaction behavior from multiple users in real-world learning scenarios. IEEE Access, 6:39154–39179.
Singh, S., Inamdar, A., Kore, A., and Pawar, A. (2020). Analysis of algorithms for user authentication using keystroke dynamics. In 2020 International Conference on Communication and Signal Processing (ICCSP), pages 0337–0341.
Çevik, N., Akleylek, S., and Koç, K. Y. (2021). Keystroke dynamics based authentication system. In 2021 6th International Conference on Computer Science and Engineering (UBMK), pages 644–649.
Dias, T., Vitorino, J., Maia, E., Sousa, O., and Praça, I. (2023). Keyrecs: A keystroke dynamics and typing pattern recognition dataset. Data in Brief, 50:109509.
Grzenda, M., Kaźmierczak, S., Luckner, M., Borowik, G., and Mańdziuk, J. (2023). Evaluation of machine learning methods for impostor detection in web applications. Expert Systems with Applications, 231:120736.
Khan, S., Devlen, C., Manno, M., and Hou, D. (2024). Mouse dynamics behavioral biometrics: A survey. ACM Computing Surveys, 56.
Müller, A. C. and Guido, S. (2016). Introduction to machine learning with Python: a guide for data scientists. ”O’Reilly Media, Inc.”.
Nnamoko, N., Barrowclough, J., Liptrott, M., and Korkontzelos, I. (2022). A behaviour biometrics dataset for user identification and authentication. Data in Brief, 45:108728.
Salmeron-Majadas, S., Baker, R. S., Santos, O. C., and Boticario, J. G. (2018). A machine learning approach to leverage individual keyboard and mouse interaction behavior from multiple users in real-world learning scenarios. IEEE Access, 6:39154–39179.
Singh, S., Inamdar, A., Kore, A., and Pawar, A. (2020). Analysis of algorithms for user authentication using keystroke dynamics. In 2020 International Conference on Communication and Signal Processing (ICCSP), pages 0337–0341.
Çevik, N., Akleylek, S., and Koç, K. Y. (2021). Keystroke dynamics based authentication system. In 2021 6th International Conference on Computer Science and Engineering (UBMK), pages 644–649.
Publicado
16/09/2024
Como Citar
CORRÊA, Lucas R. A.; COSTA, Agda B. G.; ASSUMPÇÃO, Paulo; MELO JR, Wilson S..
Autenticação de Sistemas Baseados em Biometria Comportamental. In: WORKSHOP DE TRABALHOS DE INICIAÇÃO CIENTÍFICA E DE GRADUAÇÃO EM ANDAMENTO - SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 24. , 2024, São José dos Campos/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 341-346.
DOI: https://doi.org/10.5753/sbseg_estendido.2024.243402.
