Publicações
Esta secção reúne as publicações, relatórios e comunicações científicas que resultam das atividades do projeto, promovendo a disseminação do conhecimento e a troca de experiências com a comunidade académica e industrial.
The Impact of Filtering in Differential Cryptanalysis: A Case Study on FEAL-8
Costa, I., Amorim, I., Maia, E., Praça, I. (2026). The Impact of Filtering in Differential Cryptanalysis: A Case Study on FEAL-8. In: Katsikas, S., Alcaraz, C. (eds) Security and Trust Management. STM 2025. Lecture Notes in Computer Science, vol 16137. Springer, Cham. https://doi.org/10.1007/978-3-032-06155-3_13
Federated Learning: An approach with Hybrid Homomorphic Encryption
Correira, P., Costa, I., Amorim, I., Maia, E., Praça, I. (2026). Federated Learning: An approach with Hybrid Homomorphic Encryption. In: International Workshop on Cyber-Physical Security for Critical Infrastructures Protection. CPS4CIP 2025. (IN PRESS).
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
Costa, I., Amorim, I., Maia, E., Praça, I. (2025). Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption. In: International Conference on Applied Cryptography and Network Security. ACNS 2026. (SUBMITTED)
Rethinking Phishing Detection: How Dataset Quality Affects Model Generalization
Afonso, P., Maia, E., Amorim, I., Praça, I. (2025). Rethinking Phishing Detection: How Dataset Quality Affects Model Generalization. In: International Conference on Advanced Computer Information Technologies. ACIT’2025. (IN PRESS).
Context Aware Recognition of maLicious Emails
Afonso, P., Maia, E., Amorim, I., Praça, I. (2025). CARLE: Context Aware Recognition of maLicious Emails. In: International Symposium on Foundations & Practice of Security. FPS 2025. (SUBMITTED)
Generalizing Across Networks: Evaluating Model Transferability for Intrusion Detection
Silva, M., Vitorino, J., Pinto, D., Amorim, I., Maia, E., Praça, I. (2025). Generalizing Across Networks: Evaluating Model Transferability for Intrusion Detection. In: International Symposium on Foundations & Practice of Security. FPS 2025. (SUBMITTED).
