Cristina Wanzeller

Dr. Cristina Wanzeller


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
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EPEduardo Pina
Eduardo Pina
JRJosé Afonso de Almeida Ramos
José Afonso de Almeida Ramos
HJHenrique Jorge
Henrique Jorge
PVPaulo Vaz
Paulo Vaz
JSJosé Silva
José Silva
PMPedro Martins
Pedro Martins
Data privacy and ethical considerations ensure the security of databases by respecting individual rights while upholding ethical considerations when collecting, managing, and using information. Nowadays, despite having regulations that help to protect citizens and organizations, we have been presented with thousands of instances of data breaches, unauthorized access, and misuse of data related to such individuals and organizations. In this paper, we propose ethical considerations and best practices associated with critical data and the role of the database administrator who helps protect data. First, we suggest best practices for database administrators regarding data minimization, anonymization, pseudonymization and encryption, access controls, data retention guidelines, and stakeholder communication. Then, we present a case study that illustrates the application of these ethical implementations and best practices in a real-world scenario, showing the approach in action and the benefits of privacy. Finally, the study highlights the importance of a comprehensive approach to deal with data protection challenges and provides valuable insights for future research and developments in this field.

Verified
Journal Article
Open access
PDF file
HJHenrique Jorge
Henrique Jorge
CWCristina Wanzeller
Cristina Wanzeller
João HenriquesJoão Henriques
João Henriques
Ensuring data privacy and security in sensitive domains such as healthcare remains a critical challenge. Homomorphic Encryption (HE) offers a promising approach by enabling computations directly on encrypted data, but the diversity of available schemes requires careful evaluation before practical adoption. This work conducts a comparative study of six representative HE schemes: BGV, TFHE, Paillier, RSA without padding, BFV, and CKKS. It is adopted a five-step strategy, encompassing preprocessing, cryptographic setup, encryption, homomorphic execution, and decryption, applied to a healthcare dataset. Overall, the comparative analysis underscores that no single scheme is universally optimal. The choice of an HE scheme must be guided by the nature of the required operations, acceptable precision levels, and computational constraints of the target healthcare scenario.

1 January 2018 in Procedia Computer Science
Verified
Journal Article
Open access
JCJosé Cecílio
José Cecílio
Filipe CaldeiraFilipe Caldeira
Filipe Caldeira
CWCristina Wanzeller
Cristina Wanzeller

30 March 2022
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Book Chapter
Closed access
PDF file
MCMarcelo Costa
Marcelo Costa
MRMargarida Rodrigues
Margarida Rodrigues
PBPedro Baptista
Pedro Baptista
CWCristina Wanzeller
Cristina Wanzeller
PMPedro Martins
Pedro Martins
MAMaryam Abbasi
Maryam Abbasi

28 August 2022
Verified
Book Chapter
Closed access
PDF file
CFCarolina Ferreira
Carolina Ferreira
LCLuciano Correia
Luciano Correia
MLManuel Lopes
Manuel Lopes
João HenriquesJoão Henriques
João Henriques
PMPedro Martins
Pedro Martins
Filipe CaldeiraFilipe Caldeira
Filipe Caldeira

12 May 2023
Verified
Book Chapter
Closed access
PDF file
CFCarolina Ferreira
Carolina Ferreira
MLManuel Lopes
Manuel Lopes
LCLuciano Correia
Luciano Correia
CWCristina Wanzeller
Cristina Wanzeller
Filipe SáFilipe Sá
Filipe Sá
MAMaryam Abbasi
Maryam Abbasi