Análise dos aspectos de veracidade dos perfis empresarias no LinkedIn

• Autor(a) principal: Gonzaga, Loriany Brasil
• Data de Publicação: 2019
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFAM
• Texto Completo: http://riu.ufam.edu.br/handle/prefix/5709
• topic: Web scraping; Linkedin; Data mining; Perfil falso; CIÊNCIAS EXATAS E DA TERRA: CIÊNCIA DA COMPUTAÇÃO; Software - Desenvolvimento; LinkedIn (Rede social on-line); Mineração de dados (Computação)

The Internet is currently part of the routine causing significant change, new technologies related to social media, such as mobile applications, provide virtual communication between people, enabling opportunities for relationships and business activities. The use of social networks can cause various damage to users, a threat to users' safety is Social Engineering, seen as a set of techniques and skills used to persuade people, manipulating them in order to obtain confidential information revealed by victims. Due to the absence of an effective structure to control records and content on social networks, many individuals use virtual environments as tools for creating fake profiles. Information is invaluable in this context and its protection is of paramount importance. Given the reported information this work consists in analyzing the veracity of the information provided by business profiles in the LinkedIn social network, applying criteria and making a comparison of information collected in the social network with information in open databases provided by the IRS, the proposal presents the conceptual model and an application for identifying possible false business profiles.