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About

Rogério Pontes came to HASLab looking for new challenges and expand his knowledge on computer science. In his first year, he completed his Master’s thesis on a Linear Algebra Approach to OLAP systems. The master thesis, the great group environment and the possibility to work on research projects relevant to the needs of users and the industry sparked his interest for research.  With this new found interest, he enrolled on the MAP-i Doctoral programme. His thesis, still in progress, deals with one current issue on today’s society, the privacy of data. With close proximity to the european project SafeCloud-eu, his research tackles the existing issues on data storage privacy and secure data processing.

Interest
Topics
Details

Details

  • Name

    Rogério António Pontes
  • Role

    Research Assistant
  • Since

    01st July 2014
  • Nationality

    Portugal
  • Contacts

    +351253604440
    rogerio.a.pontes@inesctec.pt
002
Publications

2020

On the Trade-Offs of Combining Multiple Secure Processing Primitives for Data Analytics

Authors
Carvalho, H; Cruz, D; Pontes, R; Paulo, J; Oliveira, R;

Publication
Distributed Applications and Interoperable Systems - 20th IFIP WG 6.1 International Conference, DAIS 2020, Held as Part of the 15th International Federated Conference on Distributed Computing Techniques, DisCoTec 2020, Valletta, Malta, June 15-19, 2020, Proceedings

Abstract

2019

d'Artagnan: A Trusted NoSQL Database on Untrusted Clouds

Authors
Pontes, R; Maia, F; Vilaca, R; Machado, N;

Publication
2019 38th Symposium on Reliable Distributed Systems (SRDS)

Abstract

2017

SafeFS: a modular architecture for secure user-space file systems: one FUSE to rule them all

Authors
Pontes, Rogerio; Burihabwa, Dorian; Maia, Francisco; Paulo, Joao; Schiavoni, Valerio; Felber, Pascal; Mercier, Hugues; Oliveira, Rui;

Publication
Proceedings of the 10th ACM International Systems and Storage Conference, SYSTOR 2017, Haifa, Israel, May 22-24, 2017

Abstract
The exponential growth of data produced, the ever faster and ubiquitous connectivity, and the collaborative processing tools lead to a clear shift of data stores from local servers to the cloud. This migration occurring across different application domains and types of users|individual or corporate|raises two immediate challenges. First, outsourcing data introduces security risks, hence protection mechanisms must be put in place to provide guarantees such as privacy, confidentiality and integrity. Second, there is no \one-size-fits-all" solution that would provide the right level of safety or performance for all applications and users, and it is therefore necessary to provide mechanisms that can be tailored to the various deployment scenarios. In this paper, we address both challenges by introducing SafeFS, a modular architecture based on software-defined storage principles featuring stackable building blocks that can be combined to construct a secure distributed file system. SafeFS allows users to specialize their data store to their specific needs by choosing the combination of blocks that provide the best safety and performance tradeoffs. The file system is implemented in user space using FUSE and can access remote data stores. The provided building blocks notably include mechanisms based on encryption, replication, and coding. We implemented SafeFS and performed indepth evaluation across a range of workloads. Results reveal that while each layer has a cost, one can build safe yet efficient storage architectures. Furthermore, the different combinations of blocks sometimes yield surprising tradeoffs. © 2017 ACM.

2017

Performance trade-offs on a secure multi-party relational database

Authors
Pontes, R; Pinto, M; Barbosa, M; Vilaça, R; Matos, M; Oliveira, R;

Publication
Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017

Abstract

2017

A Practical Framework for Privacy-Preserving NoSQL Databases

Authors
Macedo, R; Paulo, J; Pontes, R; Portela, B; Oliveira, T; Matos, M; Oliveira, R;

Publication
36th IEEE Symposium on Reliable Distributed Systems, SRDS 2017, Hong Kong, Hong Kong, September 26-29, 2017

Abstract