Connecting technology and professionals in digital fraud management from a computer science perspective

• Ano de defesa: 2025
• Autor(a) principal: GOMES, Renata Faria
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Pernambuco; UFPE; Brasil; Programa de Pos Graduacao em Ciencia da Computacao
• Palavras-chave em Português: Fraud management; Cybersecurity; Computer science; Risk management; Digital fraud
• Link de acesso: https://repositorio.ufpe.br/handle/123456789/67099

The escalating sophistication and volume of digital fraud demand robust, adaptive man agement. While academic insights exist on detection and tools, a persistent gap remains in comprehensively connecting these technologies with professionals and their practical contexts. Purpose–Thisdissertationaddressesthisgapbyexaminingfraudmanagementfromacom puter science perspective, focusing on software tools, relevant knowledge, and computing expertise. It seeks to answer key questions regarding current tool use and challenges, essential computer science knowledge and its application, and professionals’ perception of collaboration with computing experts. Methodology–Thestudyemploysamixed-methodsapproach, in tegrating a literature review, a software benchmark, and qualitative surveys conducted with Brazilian fraud professionals. Findings–Our findings indicate that technology is essential and multifunctional across all fraud management stages (deterrence to prosecution), but its e!ectiveness is often hindered by human factors, usability issues, and systemic fragmentation. Traditional frameworks struggle to capture real-world operational fluidity, and professionals encounter challenges like technical language barriers, limited integration, and bureaucratic ine"ciencies, particularly in the public sector. Recommendations–Toaddress these, the study advocates for integrated fraud resilience frameworks, improved technical communication to bridge human-technology gaps, legislative modernization for agile law enforcement, and responsible navigation of AI’s ethical and security.