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Detalhes

Detalhes

  • Nome

    João Paulo Vilela
  • Cargo

    Investigador
  • Desde

    01 março 2020
001
Publicações

2023

Poster: Privacy-Preserving Joint Communication and Sensing

Autores
Martins, O; Vilela, JP; Gomes, M;

Publicação
2023 IEEE 24TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS, WOWMOM

Abstract
With the recent advancements in wireless networks, Joint Communication and Sensing (JCAS) has become a growing field that is expected to be included in next-generation standards. However, not only is the current performance of the sensing ability still lacking to be used in real-world scenarios, proper security of such privacy-invasive technology has not been fully explored. To this end, we propose the creation of a more robust framework, capable of cross-domain detection and long-term analysis for improved detection, which will also serve as the basis for a security and privacy analysis of the threat landscape and solutions in this field.

2023

Velocity-Aware Geo-Indistinguishability

Autores
Mendes, R; Cunha, M; Vilela, JP;

Publicação
CODASPY 2023 - Proceedings of the 13th ACM Conference on Data and Application Security and Privacy

Abstract
Location Privacy-Preserving Mechanisms (LPPMs) have been proposed to mitigate the risks of privacy disclosure yielded from location sharing. However, due to the nature of this type of data, spatio-temporal correlations can be leveraged by an adversary to extenuate the protections. Moreover, the application of LPPMs at collection time has been limited due to the difficulty in configuring the parameters and in understanding their impact on the privacy level by the end-user. In this work we adopt the velocity of the user and the frequency of reports as a metric for the correlation between location reports. Based on such metric we propose a generalization of Geo-Indistinguishability denoted Velocity-Aware Geo-Indistinguishability (VA-GI). We define a VA-GI LPPM that provides an automatic and dynamic trade-off between privacy and utility according to the velocity of the user and the frequency of reports. This adaptability can be tuned for general use, by using city or country-wide data, or for specific user profiles, thus warranting fine-grained tuning for users or environments. Our results using vehicular trajectory data show that VA-GI achieves a dynamic trade-off between privacy and utility that outperforms previous works. Additionally, by using a Gaussian distribution as estimation for the distribution of the velocities, we provide a methodology for configuring our proposed LPPM without the need for mobility data. This approach provides the required privacy-utility adaptability while also simplifying its configuration and general application in different contexts. © 2023 Owner/Author.

2023

Towards Privacy-First Security Enablers for 6G Networks: The PRIVATEER Approach

Autores
Masouros, D; Soudris, D; Gardikis, G; Katsarou, V; Christopoulou, M; Xilouris, G; Ramón, H; Pastor, A; Scaglione, F; Petrollini, C; Pinto, A; Vilela, JP; Karamatskou, A; Papadakis, N; Angelogianni, A; Giannetsos, T; Villalba, LJG; Alonso López, JA; Strand, M; Grov, G; Bikos, AN; Ramantas, K; Santos, R; Silva, F; Tsampieris, N;

Publicação
Embedded Computer Systems: Architectures, Modeling, and Simulation

Abstract

2023

Towards Privacy-First Security Enablers for 6G Networks: The PRIVATEER Approach

Autores
Masouros, D; Soudris, D; Gardikis, G; Katsarou, V; Christopoulou, M; Xilouris, G; Ramón, H; Pastor, A; Scaglione, F; Petrollini, C; Pinto, A; Vilela, JP; Karamatskou, A; Papadakis, N; Angelogianni, A; Giannetsos, T; García Villalba, LJ; Alonso López, JA; Strand, M; Grov, G; Bikos, AN; Ramantas, K; Santos, R; Silva, F; Tsampieris, N;

Publicação
Embedded Computer Systems: Architectures, Modeling, and Simulation - 23rd International Conference, SAMOS 2023, Samos, Greece, July 2-6, 2023, Proceedings

Abstract

2022

Blockchain-based Device Identity Management with Consensus Authentication for IoT Devices

Autores
Mukhandi M.; Damiao F.; Granjal J.; Vilela J.P.;

Publicação
Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

Abstract
To decrease the IoT attack surface and provide protection against security threats such as introduction of fake IoT nodes and identity theft, IoT requires scalable device identity and authentication management. This work proposes a blockchain-based identity management approach with consensus authentication as a scalable solution for IoT device authentication management. The proposed approach relies on having a blockchain secure tamper proof ledger and a novel lightweight consensus-based identity authentication. The results show that the proposed decentralised authentication system is scalable as we increase number of nodes.

Teses
supervisionadas

2022

Privacy-Preserving Mechanisms for Heterogeneous Data Types

Autor
Mariana da Cruz Cunha

Instituição
UP-FCUP

2021

Privacy-Preserving Mechanisms for Heterogeneous Data Types

Autor
Mariana da Cruz Cunha

Instituição
UP-FCUP

2021

Prediction of Privacy Preferences with User Profiles: A Federated Learning Approach

Autor
André Xavier Ribeiro de Almeida Brandão

Instituição
UP-FCUP

2021

Privacy Awareness for Mobile Devices

Autor
Miguel António de Kermenguy Serpa Pimentel Ramos

Instituição
UP-FCUP

2020

Privacy-Preserving Mechanisms for Heterogeneous Data Types

Autor
Mariana da Cruz Cunha

Instituição
UP-FCUP