miguel pupo correia           

Big Data Security Analytics and Intrusion Detection

The amount of existing data is growing so large that this become a research area (“big data”) and an opportunity also in terms of cybersecurity. I have been doing research on these topics along three lines: analytics techniques, platforms for large-scale data processing, and intrusion detection.

Current students: Luís Dias, Arnaldo Gouveia, Pedro Costa, João Amado, Hélder Reia

Selected publications:

Pedro Costa, Fernando Ramos, and Miguel Correia. On the Design of Resilient Multicloud MapReduce. IEEE Cloud Computing, vol. 4(4) pp. 74-82, July/August 2017. (pdf)

Pedro A. R. S. Costa, Fernando M. V. Ramos, Miguel Correia. Chrysaor: Fine-Grained, Fault-Tolerant Cloud-of-Clouds MapReduce. In Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2017. (pdf) Best Student Paper Award

Daniel Gonçalves, João Bota, Miguel Correia. Big Data Analytics for Detecting Host Misbehavior in Large Logs. In Proceedings of the 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Aug. 2015.

P. Costa, M. Pasin, A. Bessani, M. Correia. On the Performance of Byzantine Fault-Tolerant MapReduce. IEEE Transactions on Dependable and Secure Computing, vol. 10. no. 5, pp. 301-313, Set.-Oct. 2013 (pdf)

Other publications:

Luís Sacramento, Ibéria Medeiros, João Bota, and Miguel Correia. FlowHacker: Detecting Unknown Network Attacks in Big Traffic Data using Network Flows. In Proceedings of IEEE TrustCom, July 2018

Arnaldo Gouveia, Miguel Correia. A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection. In Proceedings of the International Work-Conference on Artificial Neural Networks (IWANN), Jun. 2017. (pdf)

Diogo Frazão, João Redol, and Miguel Correia. PARADISE: Modular Click Fraud Detection. In 2017 European Security Conference: Cybersecurity Analytics, Jun. 2017.

Arnaldo Gouveia, Miguel Correia. Feature Set Tuning for Machine Learning based Network Intrusion Detection. In Proceedings of the 15th IEEE International Symposium on Network Computing and Applications (NCA), Nov. 2016. (pdf)

Pedro A. R. S. Costa, Xiao Bai, Fernando M. V. Ramos, Miguel Correia. Medusa: An Efficient Cloud Fault-Tolerant MapReduce. In Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2016. (pdf)

Daniel Presser, Lau Cheuk Lung, Miguel Correia. Greft: Arbitrary Fault-Tolerant Distributed Graph Processing. In Proceedings of the IEEE BigData Congress 2015, Jun.-Jul. 2015. (pdf)

Pedro Costa, Marcelo Pasin, Alysson N. Bessani and Miguel Correia. Byzantine Fault-Tolerant MapReduce: Faults Are Not Just Crashes. In Proceedings of the 3rd IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Nov-Dec. 2011. (pdf) Best Paper Award

G. Nascimento, M. Correia. Anomaly-based Intrusion Detection in Software as a Service. In Proceedings of the 5th Workshop on Recent Advances on Intrusion-Tolerant Systems (WRAITS, with DSN'11), Hong Kong, June 2011. (pdf)

Pan Jieke, João Redol, Miguel Correia. Specification-Based Intrusion Detection System for Carrier Ethernet. In International Conference on Web Information Systems and Technologies (WEBIST 2007), Barcelona, Spain, March 2007 (pdf)

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