Scientific Publications
2023
µDetector: Automated Intrusion Detection for Microservices
José Flora, Miguel Teixeira, Nuno Antunes
30th IEEE International Conference on Software Analysis, Evolution and Reengineering
(to appear)
HyperJump: Accelerating HyperBand via Risk Modelling
Maria Casimiro, Paulo Mendes, Paulo Romano, David Garlan
37th AAAI Conference on Artificial Intelligence (AAAI-23)
(to appear)
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
37th AAAI Conference on Artificial Intelligence (AAAI-23)
(to appear)
MRVs: Enforcing Numeric Invariants in Parallel Updates to Hotspots with Randomized Splitting
Nuno Faria and José Pereira
ACM SIGMOD/PODS International Conference on Management of Data
(to appear)
2022
A Dataset of Linux Failure Data for Dependability Evaluation and Improvement
João R. Campos, Ernesto Costa e Marco Vieira
4th Workshop on Data-Centric Dependability and Security (DCDS)
Online Failure Prediction for Complex Systems: Methodology and Case Studies
João R. Campos, Ernesto Costa e Marco Vieira
IEEE Transactions on Dependable and Secure Computing
On the Applicability of Machine Learning-based Online Failure Prediction for Modern Complex Systems
João R. Campos, Ernesto Costa e Marco Vieira
2022 18th European Dependable Computing Conference (EDCC)
Model-Based Performability and Dependability Evaluation of a System with VM Migration as Rejuvenation in the Presence of Bursty Workloads
Matheus Torquato, Paulo Maciel e Marco Vieira
Journal of Network and Systems Management
Software Rejuvenation Meets Moving Target Defense: Modeling of Time-Based Virtual Machine Migration Approach
Matheus Torquato, Paulo Maciel e Marco Vieira
ISSRE 2022 : The 33rd International Symposium on Software Reliability Engineering
A Study on the Aging and Fault Tolerance of Microservices in Kubernetes
José Flora, Paulo Gonçalves, Miguel Teixeira, Nuno Antunes
IEEE Access
Detecting DoS Attacks in Microservice Applications: Approach and Case Study
Jessica Castro, Nuno Laranjeiro, Marco Vieira
11TH LATIN-AMERICAN SYMPOSIUM ON DEPENDABLE COMPUTING
(to appear)
On the Use of Deep Graph CNN to Detect Vulnerable C Functions
José D’Abruzzo Pereira, Nuno Lourenço, Marco Vieira
11TH LATIN-AMERICAN SYMPOSIUM ON DEPENDABLE COMPUTING
(to appear)
A Software Vulnerability Dataset of Large Open Source C/C++ Projects
José D’Abruzzo Pereira, João Henggeler Antunes and Marco Vieira
27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2022)
(to appear)
StarBridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom network
Pedro Fidalgo, Rui Jorge Lopes, Christos Faloutsos
2022 IEEE International Conference on Big Data Industry and Government Program
(to appear)
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
2022 IEEE International Conference on Big Data Industry and Government Program
(to appear)
OIDC-TCI: Truste Context Information
Carolina Gonçalves, Nuno Antunes and Bruno Sousa
14th IFIP Wireless and Mobile Networking Conference (IFIP WMNC) (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
