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Details

  • Name

    João Soares Resende
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    01st October 2016
Publications

2021

A Kolmogorov Complexity for multidisciplinary domains

Authors
S. Resende, J; Almeida, M; Martins, R; Antunes, L;

Publication
Proceedings of Entropy 2021: The Scientific Tool of the 21st Century

Abstract

2021

Hardening of cryptographic operations through the use of Secure Enclaves

Authors
Brandao, A; Resende, JS; Martins, R;

Publication
Computers & Security

Abstract

2021

Towards a Modular On-Premise Approach for Data Sharing

Authors
Resende, JS; Magalhaes, L; Brandao, A; Martins, R; Antunes, L;

Publication
Sensors

Abstract
The growing demand for everyday data insights drives the pursuit of more sophisticated infrastructures and artificial intelligence algorithms. When combined with the growing number of interconnected devices, this originates concerns about scalability and privacy. The main problem is that devices can detect the environment and generate large volumes of possibly identifiable data. Public cloud-based technologies have been proposed as a solution, due to their high availability and low entry costs. However, there are growing concerns regarding data privacy, especially with the introduction of the new General Data Protection Regulation, due to the inherent lack of control caused by using off-premise computational resources on which public cloud belongs. Users have no control over the data uploaded to such services as the cloud, which increases the uncontrolled distribution of information to third parties. This work aims to provide a modular approach that uses cloud-of-clouds to store persistent data and reduce upfront costs while allowing information to remain private and under users’ control. In addition to storage, this work also extends focus on usability modules that enable data sharing. Any user can securely share and analyze/compute the uploaded data using private computing without revealing private data. This private computation can be training machine learning (ML) models. To achieve this, we use a combination of state-of-the-art technologies, such as MultiParty Computation (MPC) and K-anonymization to produce a complete system with intrinsic privacy properties.

2021

Provisioning, authentication and secure communications for iot devices on fiware

Authors
Sousa, P; Magalhaes, L; Resende, J; Martins, R; Antunes, L;

Publication
Sensors

Abstract
The increasing pervasiveness of the Internet of Things is resulting in a steady increase of cyberattacks in all of its facets. One of the most predominant attack vectors is related to its identity management, as it grants the ability to impersonate and circumvent current trust mechanisms. Given that identity is paramount to every security mechanism, such as authentication and access control, any vulnerable identity management mechanism undermines any attempt to build secure systems. While digital certificates are one of the most prevalent ways to establish identity and perform authentication, their provision at scale remains open. This provisioning process is usually an arduous task that encompasses device configuration, including identity and key provisioning. Human configuration errors are often the source of many security and privacy issues, so this task should be semi-autonomous to minimize erroneous configurations during this process. In this paper, we propose an identity management (IdM) and authentication method called YubiAuthIoT. The overall provisioning has an average runtime of 1137.8 ms ± 65.11 + d. We integrate this method with the FIWARE platform, as a way to provision and authenticate IoT devices. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

2020

Employment of Secure Enclaves in Cheat Detection Hardening

Authors
Brandão, A; Resende, JS; Martins, R;

Publication
Trust, Privacy and Security in Digital Business - Lecture Notes in Computer Science

Abstract

Supervised
thesis

2019

Android Security by Introspection

Author
João Vasco Bispo Estrela

Institution
UP-FCUP