Admilson de Ribamar Lima Ribeiro
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Admilson de Ribamar Lima Ribeiro has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- João Marco Cardoso Silva
University of Minho
3 shared publications - Gilton José Ferreira da Silva
Departamento de Computac ¸ão (DCOMP) Universidade Federal de Sergipe (UFS) Av. Marechal Rondon s/n -Jardim Rosa Elze -CEP -000 49100 São Cristóvão -SE - Brazil
2 shared publications Poliana Rafaela Moraes
2 shared publications- Waldson Rodrigues Cardoso
Federal University of Sergipe, UFS
2 shared publications Cristiane Almeida Santos Nascimento
Federal University of Sergipe, Avenida Marechal Rondon
1 shared publication- João Fernando Pereira1 shared publication
Latest Publications
- 2 August 2026
- Published by Springer Nature
- p. 405-416
Generative Artificial Intelligence in Social Engineering: Empowering Deepfake Attacks
- 2 August 2026
- Published by Springer Nature
- p. 405-416
Generative Artificial Intelligence in Social Engineering: Empowering Deepfake Attacks
- 2 August 2026
- Published by Springer Nature
- p. 41-51
Use of Social Engineering for Grooming of Children and Adolescents in Cyberspace: a Systematic Mapping Study
- 2 August 2026
- Published by Springer Nature
- p. 41-51
Use of Social Engineering for Grooming of Children and Adolescents in Cyberspace: a Systematic Mapping Study
- 23 July 2026
- Published by Springer Nature
- p. 121-131
Assessment of the Effectiveness of Privacy and Data Protection Awareness Training: An Experimental Study
- 23 July 2026
- Published by Springer Nature
- p. 121-131
Assessment of the Effectiveness of Privacy and Data Protection Awareness Training: An Experimental Study
- 23 July 2026
- Published by Springer Nature
- p. 498-507
Using Generative Artificial Intelligence to Support Preparation for University Entrance Exams: A Systematic Review
- 23 July 2026
- Published by Springer Nature
- p. 498-507
Using Generative Artificial Intelligence to Support Preparation for University Entrance Exams: A Systematic Review
- 2 January 2026
- Published by Springer Nature
- p. 243-256
Anomaly-Based Technique to Detect Social Engineering Attacks Using Online Learning
- 2 January 2026
- Published by Springer Nature
- p. 243-256
Anomaly-Based Technique to Detect Social Engineering Attacks Using Online Learning
- Open Access
- 16 February 2024
- Published by Springer Nature in Research Square
APSEA: An Awareness and Prevention Expert System against Social Engineering Attacks in Public Organizations
The growing concern for information security arises from the risks associated with the dissemination of personal data on the internet and the increasing incidents of social engineering attacks, which exploit psychological vulnerabilities. These attacks pose a substantial threat to individuals and organizations, potentially resulting in significant financial losses. This article highlights the development of the APSEA tool - Awareness and Prevention Expert System against Engineering Attacks, an expert system designed to raise awareness and prevent social engineering attacks in public organizations. The tool aims to make employees vigilant against such threats, empowering them to identify and avoid psychological manipulation techniques used by attackers. Despite existing protective measures such as awareness training and security policies, APSEA seeks to contribute to strengthening the human factor in information security. The article covers key concepts in information security, presenting interactive modules and artificial intelligence features to identify vulnerabilities. A qualitative and performance evaluation of the tool is conducted, and the results indicate that the adopted approach is effective in achieving its objectives.
- 16 February 2024
- Published by Springer Nature in Research Square
Open AccessAPSEA: An Awareness and Prevention Expert System against Social Engineering Attacks in Public Organizations
The growing concern for information security arises from the risks associated with the dissemination of personal data on the internet and the increasing incidents of social engineering attacks, which exploit psychological vulnerabilities. These attacks pose a substantial threat to individuals and organizations, potentially resulting in significant financial losses. This article highlights the development of the APSEA tool - Awareness and Prevention Expert System against Engineering Attacks, an expert system designed to raise awareness and prevent social engineering attacks in public organizations. The tool aims to make employees vigilant against such threats, empowering them to identify and avoid psychological manipulation techniques used by attackers. Despite existing protective measures such as awareness training and security policies, APSEA seeks to contribute to strengthening the human factor in information security. The article covers key concepts in information security, presenting interactive modules and artificial intelligence features to identify vulnerabilities. A qualitative and performance evaluation of the tool is conducted, and the results indicate that the adopted approach is effective in achieving its objectives.
- Open Access
- 1 February 2024
- Published by Brazilian Journals in OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA
- Vol. 22 (2) , e3098
A comparative study between zero-knowledge proof (ZKP) and ring signatures targeting the legal and regulatory implications with the general data protection law (GDPL) and general data protection regulation (GDPR)
Privacy protection ensures that individuals have control over personal data, preventing abuse and preserving trust in the use of online services. In the “Digital Era”, where the collection, storage and processing of personal information have become ubiquitous, data privacy emerges as a relevant topic. In this sense, laws were created, such as the General Data Protection Law (LGPD) in Brazil and the General Data Protection Regulation (GDPR) in Europe, to control privacy and the processing of personal data. The article presents a comparative analysis of 2 (two) data privacy mechanisms, the Zero-Knowledge Proof (ZKP) and Ring Signatures, used in Blockchain, aiming at the legal and regulatory implications with the LGPD and GDPR. The comparative study between ZKP and Ring Signatures highlights the flexibility of ZKP in various contexts, including voting and secure authentication systems, while Ring Signatures offer significant advantages in terms of scalability and efficiency in systems where subscriber anonymity is considered fundamental. Furthermore, the legal and regulatory implications of the ZKP are discussed, mainly in relation to LGPD and GDPR. Finally, the article concludes that the comparative analysis offers insights into applications, challenges and legal and regulatory implications, particularly in relation to data privacy and compliance with regulations such as LGPD and GDPR.
- 1 February 2024
- Published by Brazilian Journals in OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA
- Vol. 22 (2) , e3098
Open AccessA comparative study between zero-knowledge proof (ZKP) and ring signatures targeting the legal and regulatory implications with the general data protection law (GDPL) and general data protection regulation (GDPR)
Privacy protection ensures that individuals have control over personal data, preventing abuse and preserving trust in the use of online services. In the “Digital Era”, where the collection, storage and processing of personal information have become ubiquitous, data privacy emerges as a relevant topic. In this sense, laws were created, such as the General Data Protection Law (LGPD) in Brazil and the General Data Protection Regulation (GDPR) in Europe, to control privacy and the processing of personal data. The article presents a comparative analysis of 2 (two) data privacy mechanisms, the Zero-Knowledge Proof (ZKP) and Ring Signatures, used in Blockchain, aiming at the legal and regulatory implications with the LGPD and GDPR. The comparative study between ZKP and Ring Signatures highlights the flexibility of ZKP in various contexts, including voting and secure authentication systems, while Ring Signatures offer significant advantages in terms of scalability and efficiency in systems where subscriber anonymity is considered fundamental. Furthermore, the legal and regulatory implications of the ZKP are discussed, mainly in relation to LGPD and GDPR. Finally, the article concludes that the comparative analysis offers insights into applications, challenges and legal and regulatory implications, particularly in relation to data privacy and compliance with regulations such as LGPD and GDPR.