
Houssam Ahmad Yactin
I hold a Masters degree in Informatics and Telecommunications from Arts, Sciences and Technology University, Lebanon.I hold Bachelor degree in Informatics and Technology from ULF University, Lebanon.I am a PhD Student at MAPi (A joint Doctoral Programme in Computer Science of the University of Minho, the University of Aveiro and the University of Porto), I am also a researcher at HASLab/INESC TEC located in Minho University, Braga, Portugal.
I am interested in the domain of distributed systems. I am working on my thesis now, the subject is: “Extending Conflict-free Replicated Data Types Fault Models".
The thesis aims to extend the fault model of CRDTs to address Byzantine faults, rational behaviors, etc.This work aims at extending the fault model addressed in literature for CRDTs by suggestions considering Byzantine faults as it represents the strongest fault model, it exists in practice, and it has been studied very well in literature.
My supervisors are: Dr. Ali Shoker and Prof. José Bacelar Almeida.
Hosting Research Unit : High-Assurance Software Lab (HASLab)/INESC TEC & Univ. of Minho.
External Monitor : Prof. Alysson Bessani, universidade de Lisboa
Domains
Publications
ASPAS: As Secure as Possible Available Systems
Yactine, H;Shoker, A;Younes, G;
2021
Distributed Applications and Interoperable Systems - 21st IFIP WG 6.1 International Conference, DAIS 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Valletta, Malta, June 14-18, 2021, Proceedings
Semantic Wikis Distributed on Structured Peer-to-Peer Networks
Rahhal, C;
2018
The International Journal of E-Learning and Educational Technologies in the Digital Media
On the feasibility of byzantine agreement to secure fog/edge data management
Shoker, A;Yactine, H;
2021
Advances in Information Security
As Secure as Possible Eventual Consistency
Shoker, A;Yactine, H;Baquero, C;
2017
PROCEEDINGS OF THE 3RD INTERNATIONAL WORKSHOP ON PRINCIPLES AND PRACTICE OF CONSISTENCY FOR DISTRIBUTED DATA (PAPOC 17)
Supervised theses
Data Privacy and the Value of Information.
Fábio Miguel Azevedo Correia
D - 2024
UP-FEP