Yulliwas AMEUR

Identifiants chercheurs

IdHAL :

yulliwas-ameur

ORCID :

0000-0003-1435-2982

IdRef :

277504171

Publications

Chapitre d'ouvrage (2)

Advancing Blockchain Privacy: The Role of Homomorphic Encryption Yulliwas Ameur,Idriss Taberkane,Samia Bouzefrane Mounia Zaydi; Yassine Maleh; Gabriel Chênevert; Hayat Zaydi; Amina El Yaagoubi. Intelligent Cybersecurity and Resilience for Critical Industries: Challenges and Applications, River Publishers, pp.239-267, 2025, ⟨10.1201/9788770047746-13⟩ Chapitre d'ouvrage hal-05330722v1
Application of Homomorphic Encryption in Machine Learning Yulliwas Ameur,Samia Bouzefrane,Vincent Audigier Kevin Daimi, Abeer Alsadoon, Cathryn Peoples, Nour El Madhoun Editors. Emerging Trends in Cybersecurity Applications, Springer International Publishing, pp.391-410, 2023, 978-3-031-09639-6. ⟨10.1007/978-3-031-09640-2_18⟩ Chapitre d'ouvrage hal-03933309v1

Article dans une revue (1)

Developing Adaptive Homomorphic Encryption through Exploration of Differential Privacy Yulliwas Ameur,Samia Bouzefrane,Soumya Banerjee Journal of Cyber Security and Mobility, 2024, pp.863-886. ⟨10.13052/jcsm2245-1439.1353⟩ Article dans une revue hal-05330716v1

Communication dans un congrès (3)

Enhancing privacy in VANETs through homomorphic encryption in machine learning applications Yulliwas Ameur,Samia Bouzefrane 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024), Apr 2024, Hasselt, Belgium. pp.151-158, ⟨10.1016/j.procs.2024.06.010⟩ Communication dans un congrès hal-04676567v1
Handling security issues by using homomorphic encryption in multi-cloud environment Yulliwas Ameur,Samia Bouzefrane,Thinh Le Vinh The 14th International Conference on Ambient Systems, Networks and Technologies (ANT), Mar 2023, Leuven, Belgium Communication dans un congrès hal-03933238v1
Secure and non-interactive k-NN classifier using symmetric fully homomorphic encryption Yulliwas Ameur,Rezak Aziz,Vincent Audigier,Samia Bouzefrane Privacy in statistical databases (PSD'2022), Sep 2022, Paris, France. pp.142-154, ⟨10.1007/978-3-031-13945-1_11⟩ Communication dans un congrès hal-03933277v1

Thèse (1)

Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud Yulliwas Ameur Cryptography and Security [cs.CR]. HESAM Université, 2023. English. ⟨NNT : 2023HESAC036⟩ Thèse tel-04587371v1