Journal Articles
2018(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "Triple-Similarity Mechanism for alarm management in the cloud", Elsevier Computers & Security,  vol. 78,  pp. 33-42, 2018

2017(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "Performance Analysis of Network Traffic Predictors in the Cloud", Springer cJournal of Network and Systems Management,  vol. 25,  pp. 290-320, 2017

2016(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "Online traffic prediction in the cloud", International Journal of Network Management,  vol. 26,  pp. 269-285, 2016

Conference Articles
2017(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "Security and Trustworthiness in Cloud Computing [Poster]", in Meeting with Science and Technology in Portugal, 2017

2016(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Simões, P. and Marilia Curado , "Expedite feature extraction for enhanced cloud anomaly detection", in NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016
[citation][year=2017]A. S. Saljoughi, M. Mehvarz, H. Mirvaziri, Attacks and Intrusion Detection in Cloud Computing Using Neural Networks and Particle Swarm Optimization Algorithms, Emerging Science Journal, Vol. 1, No. 4, December, 2017, DOI: http://dx.doi.org/10.28991/ijse-01120

2015(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "A SVM Model based on Network Traffic Prediction for Detecting Anomalies", in 21th edition of the Portuguese Conference on Pattern Recognition, 2015

2014(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "Online Traffic Prediction in the Cloud: A Dynamic Window Approach", in The 2nd International Conference on Future Internet of Things and Cloud (FiCloud-2014), 2014

2013(1 publication)
[publication]Dalmazo, B.L. and João P. Vilela and Marilia Curado , "Predicting Traffic in the Cloud: A Statistical Approach", in IEEE International Conference on Cloud and Green Computing 2013, 2013
[citation][year=2015]B Hong, F Peng, B Deng, Y Hu, et al. DACHmm: detecting anomaly in cloud systems with hidden Markov models, Wiley CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE, 2015.
[citation][year=2015]B Hong, F Peng, B Deng, Y Zhang. O-MAP: A per-component online anomaly predicting method for Cloud infrastructure, IEEE International Conference on Information and Automation, Agosto 2015.