Publications
This section gathers the publications, reports, and scientific communications resulting from the project’s activities, promoting knowledge dissemination and the exchange of experiences with the academic and industrial community.
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).
