SemFraude: Crowdsourcing com Preservação de Privacidade para Relatos de Golpes Online
Resumo
The integration of digital platforms into everyday activities has transformed consumer relations. Financial transactions and commercial negotiations are now frequently conducted through online environments, which have also been exploited for different types of scams and fraud. Despite the prevalence of these incidents, information about victimization experiences remains fragmented across different reporting channels, making it difficult to build an integrated view of scam types and their evolution over time. In this work, we present a crowdsourcing Web platform for the collaborative collection of scam reports. The system enables the structured reporting of scam attempts and victimization experiences, including information about the incident, victim profile, communication channels used, and potential financial losses. Reports are stored in a way that preserves user anonymity and are used to generate aggregated statistics and visualizations without publicly exposing sensitive information. The platform thus provides an infrastructure for the continuous collection and analysis of scam reports in the Brazilian context.
Palavras-chave:
crowdsourcing, data donation, cybercrime reporting, online scams
Referências
O. K. Akinyokun and T. F. Owolabi. 2024. Machine Learning Based Online Scam Reportage System for Security Agencies. Int’l Journal of Advances in Engineering and Management (2024).
Eiman A Al-Hamad, Aiman Erbad, and Raian Ali. 2024. Reporting Social Media Fraud: Motivations, Barriers, and Reporting Mechanism. In Int’l Conference on Web Inform. Systems Eng.
Zainab Alkhalil, Chaminda Hewage, Liqaa Nawaf, and Imtiaz Khan. 2021. Phishing Attacks: A Recent Comprehensive Study and a New Anatomy. Frontiers in Computer Science 3 (2021).
Matthew Bietz, Kevin Patrick, and Cinnamon Bloss. 2019. Data Donation as a Model for Citizen Science Health Research. Citizen Science: Theory and Practice 4, 1 (2019), 1–11.
Mark Button and Cassandra Cross. 2017. Cyber Frauds, Scams and their Victims. Routledge.
Cassandra Cross, Kelly Richards, and Russell G Smith. 2016. The reporting experiences and support needs of victims of online fraud. Trends and issues in crime and criminal justice 518 (2016).
Marguerite DeLiema and Paul Witt. 2023. Profiling Consumers Who Reported Mass Marketing Scams: Demographic Characteristics and Emotional Sentiments Associated with Victimization. Security Journal 37 (2023), 921–964.
Fórum Brasileiro de Segurança Pública. 2026. 20º Anuário Brasileiro de Segurança Pública 2026. , 424 pages. [link]
Sara Giro Correia. 2022. Making the Most of Cybercrime and Fraud Crime Report Data: A Case Study of UK Action Fraud. International Journal of Population Data Science 7, 1 (2022).
Steven Kemp, David Buil-Gil, Asier Moneva, Fernando Miró-Llinares, and Nacho Díaz-Castaño. 2021. Empty Streets, Busy Internet: A Time-Series Analysis of Cybercrime and Fraud Trends During COVID-19. Journal of Contemporary Criminal Justice 37, 4 (2021), 480–501.
Amir Aboubakr Shaker Mahmoud, Wesam Shishah, and Nilay R. Mistry. 2025. ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models. IEEE Access 13 (2025), 92800–92815.
Tyler Moore and Richard Clayton. 2008. Evaluating the Wisdom of Crowds in Assessing Phishing Websites. In Financial Cryptography and Data Security. 16–30.
Mark Richards. 2015. Software Architecture Patterns. O’Reilly Media, Sebastopol, CA.
Ananya Shenoy and Shreedevi S. Ronihal. 2026. CrimeScanAI: Cybercrime Reporting Assistant. In Int’l Conference on Intelligent and Innovative Technol. in Comput., Electrical and Electronics.
Eric Sun and Noor Hafizah Hassan. 2022. Cybercrime Incident Reporting System. In Int’l Conference on Mobile Networks and Wireless Communications (ICMNWC). 1–5.
Eiman A Al-Hamad, Aiman Erbad, and Raian Ali. 2024. Reporting Social Media Fraud: Motivations, Barriers, and Reporting Mechanism. In Int’l Conference on Web Inform. Systems Eng.
Zainab Alkhalil, Chaminda Hewage, Liqaa Nawaf, and Imtiaz Khan. 2021. Phishing Attacks: A Recent Comprehensive Study and a New Anatomy. Frontiers in Computer Science 3 (2021).
Matthew Bietz, Kevin Patrick, and Cinnamon Bloss. 2019. Data Donation as a Model for Citizen Science Health Research. Citizen Science: Theory and Practice 4, 1 (2019), 1–11.
Mark Button and Cassandra Cross. 2017. Cyber Frauds, Scams and their Victims. Routledge.
Cassandra Cross, Kelly Richards, and Russell G Smith. 2016. The reporting experiences and support needs of victims of online fraud. Trends and issues in crime and criminal justice 518 (2016).
Marguerite DeLiema and Paul Witt. 2023. Profiling Consumers Who Reported Mass Marketing Scams: Demographic Characteristics and Emotional Sentiments Associated with Victimization. Security Journal 37 (2023), 921–964.
Fórum Brasileiro de Segurança Pública. 2026. 20º Anuário Brasileiro de Segurança Pública 2026. , 424 pages. [link]
Sara Giro Correia. 2022. Making the Most of Cybercrime and Fraud Crime Report Data: A Case Study of UK Action Fraud. International Journal of Population Data Science 7, 1 (2022).
Steven Kemp, David Buil-Gil, Asier Moneva, Fernando Miró-Llinares, and Nacho Díaz-Castaño. 2021. Empty Streets, Busy Internet: A Time-Series Analysis of Cybercrime and Fraud Trends During COVID-19. Journal of Contemporary Criminal Justice 37, 4 (2021), 480–501.
Amir Aboubakr Shaker Mahmoud, Wesam Shishah, and Nilay R. Mistry. 2025. ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models. IEEE Access 13 (2025), 92800–92815.
Tyler Moore and Richard Clayton. 2008. Evaluating the Wisdom of Crowds in Assessing Phishing Websites. In Financial Cryptography and Data Security. 16–30.
Mark Richards. 2015. Software Architecture Patterns. O’Reilly Media, Sebastopol, CA.
Ananya Shenoy and Shreedevi S. Ronihal. 2026. CrimeScanAI: Cybercrime Reporting Assistant. In Int’l Conference on Intelligent and Innovative Technol. in Comput., Electrical and Electronics.
Eric Sun and Noor Hafizah Hassan. 2022. Cybercrime Incident Reporting System. In Int’l Conference on Mobile Networks and Wireless Communications (ICMNWC). 1–5.
Publicado
27/10/2026
Como Citar
GOMES, Karen; SILVA, Márcio; SANTOS, Yuri; KANSAON, Daniel; REIS, Julio C. S.; BENEVENUTO, Fabrício.
SemFraude: Crowdsourcing com Preservação de Privacidade para Relatos de Golpes Online. In: WORKSHOP DE FERRAMENTAS E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 32. , 2026, Lavras/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 186-189.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2026.34761.
