Scientific Publications
2022
Adaptive Database Synchronization for an Online Analytical Cloud-to-Edge Continuum
Daniel Costa, José Pereira, Ricardo Vilaça and Nuno Faria
37th Annual ACM Symposium on Applied Computing (2022)
BIANFE: Object identification and authentication in federated scenarios
Carolina Gonçalves, Bruno Sousa and Nuno Antunes
IEEE 19th Annual Consumer Communications & Networking Conference (2022)
AIDA-DB: A Data Management Architecture for the Edge and Cloud Continuum
Nuno Faria, Daniel Costa, José Pereira, Ricardo Vilaça, Luís Ferreira and Fábio Coelho
1st International Workshop on Secure FunctiON ChAining and FederaTed AI (2022)
2021
Towards Generic Fine-Grained Transaction Isolation in Polystores
Nuno Faria, José Pereira, Ana Nunes Alonso and Ricardo Vilaça
Heterogeneous Data Management, Polystores, and Analytics for Healthcare (DMAH @ VLDB 2021)
A Probabilistic Model Checking Approach to Self-Adapting Machine Learning Systems
Maria Casimiro, David Garlan, Javier Cámara and Luís Rodrigues, Paolo Romano
Springer International Publishing (2021)
Injecting software faults in Python applications
Henrique Marques, Nuno Laranjeiro and Jorge Bernardino
Empirical Software Engineering, Volume 27, Article Number 20 (2022)
PyMTDEvaluator: A Tool for Time-Based Moving Target Defense Evaluation
Matheus Torquato, Paulo Maciel e Marco Vieira
32nd International Symposium on Software Reliability Engineering (ISSRE 2021)
VM Migration Scheduling as Moving Target Defense against Memory DoS Attacks: An Empirical Study
Matheus Torquato e Marco Vieira
26th IEEE Symposium on Computers and Communications (ISCC 2021)
Characterizing Buffer Overflow Vulnerabilities in Large C/C++ Projects
José D’Abruzzo Pereira, Naghmeh Ivaki, Marco Vieira
IEEE Access, Volume 9 (2021)
Geolocate: A geolocation-aware scheduling system for Edge Computing
Joao Vilaça, João Paulo, Ricardo Vilaça
1st Workshop on High-Performance and Reliable Big Data (HPBD 2021)
Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study
José D’Abruzzo Pereira, João R. Campos e Marco Vieira
17th European Dependable Computing Conference (EDCC)
Self-Adaptation for Machine Learning Based Systems
Maria Casimiro, Paolo Romano, David Garlan, Gabriel A. Moreno, Eunsuk Kang, Mark Klein
1st International Workshop on Software Architecture and Machine Learning (SAML)
Horus: Non-Intrusive Causal Analysis of Distributed Systems Logs
Francisco Neves, Nuno Machado, Ricardo Vilaça, José Pereira
51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2021)
Totally-Ordered Prefix Parallel Snapshot Isolation
Nuno Faria, José Pereira
8th Workshop on Principles and Practice of Consistency for Distributed Data (PaPoC @ EuroSys 2021)
Partially Monotonic Learning for Neural Networks
Joana Trindade, João Vinagre, Kelwin Fernandes, Nuno Paiva, Alípio Jorge
19th International Symposium on Intelligent Data Analysis (IDA 2021)
Efficient Privacy Preserving Distributed K-Means for Non-IID Data
André Brandão, Ricardo Mendes, João P. Vilela
19th International Symposium on Intelligent Data Analysis (IDA 2021)
Analysis of VM Migration Scheduling as Moving Target Defense against insider attacks
Matheus Torquato, Paulo Maciel, Marco Vieira
ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2021)
2020
On the Use of Open-Source C/C++ Static AnalysisTools in Large Projects
José D’Abruzzo Pereira, Marco Vieira
16th European Dependable Computing Conference (EDCC 2020)
An Availability Model for DSS and OLTP Applications in Virtualized Environments
Matheus Torquato, Charles F. Goncalves, Marco Vieira
16th European Dependable Computing Conference (EDCC 2020)
Vulnerability Analysis as Trustworthiness Evidence in Security Benchmarking: A Case Study on Xen
Charles F. Gonçalves, Nuno Antunes
5th IEEE International Workshop on Reliability and Security Data Analysis (RSDA 2020)
Fault Injection to Generate Failure Data for Failure Prediction: A Case Study
João R. Campos, Ernesto Costa
31st International Symposium on Software Reliability Engineering (ISSRE 2020)
Using Attack Injection to Evaluate Intrusion Detection Effectiveness in Container-based Systems
J. Flora, P. Gonçalves, N. Antunes
25th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2020)
Vulnerable Code Detection Using Software Metrics and Machine Learning
Nádia Medeiros, Naghmeh Ivaki, Pedro Costa, Marco Vieira
IEEE Access
