Study on Social Network for College Students\u27 Job Hunting

SNSs recruitment has caused the change of the traditional recruitment mode due to its advantages such as broad audience, quick information transmission, low recruitment cost and good interpersonal interaction. Through questionnaire survey, the paper implements on a study on the situation that the college students use social networks to find jobs. It is found that social network platforms are popular with college students, but it is not widely used in social job hunting platforms. What is more, the job hunting effect is not obvious. Meanwhile, the user information is prone to leakage, and the job hunting information provided is in poor quality. The paper proposes that the social network job hunting platforms should take measures to perfect the service content, strengthen the technical level and improve the information security for the college students. Additionally, the college students should also make reasonable choices and correctly utilize the social recruitment platform to protect the personal information security and improve the job hunting efficiency

Security and Privacy Issues of Big Data

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.Comment: In book Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, IGI Global, 201

Gestão da confiança e da privacidade em conteúdos gerados por utilizadores em redes sociais

A utilização de redes sociais encontra-se atualmente massificada e milhões de pessoas utilizam estas plataformas para comunicarem entre si ou partilharem os mais diversos conteúdos e experiências. Todo o tipo de conteúdos digitais, desde fotografias, vídeos, músicas, documentos, entre outros são alojados e partilhados na web, cuja confiança se centra nos prestadores de serviços oferecidos por estas plataformas, que fornecem algum tipo de controlo sobre os mesmos, que pode no entanto não ser o suficiente e originar problemas no que diz respeito à privacidade dos utilizadores. O controlo sobre estes conteúdos pode ficar fora do poder de decisão dos utilizadores a partir do momento em que estes o partilham nestas redes, mesmo com as definições de privacidade que estas oferecem. As políticas de privacidade revelam como estes conteúdos poderão ser utilizados, e em muitos casos, mesmo depois de apagados, eles continuam a existir por um período de tempo indeterminado. Com vista a criar um diferente paradigma, esta dissertação propõe o desenvolvimento de uma solução que permita oferecer um maior controlo sobre estes conteúdos, bem como uma maior privacidade e segurança na publicação dos mesmos. Para tal, será apresentada uma arquitetura e um protótipo baseados na solução tomada. Para a sua avaliação e validação, os resultados serão recolhidos e analisados através da realização de dois inquéritos, nomeadamente sobre hábitos de utilização, segurança e privacidade nas redes sociais, e recolha de feedback dos testes realizados ao protótipo desenvolvido.The current mass usage of social networks is done by millions of users in these platforms to communicate with friends and share the various contents and experiences. All this digital content, from photos to videos, music and documents, are hosted and shared on the web, whose trust focuses on these services provided by these platforms, and provide some kind of control over the content, but this may not be enough, and might cause problems regarding the users’ privacy. The content control might be outside the users’ decision-making power from the moment they share it on these networks, even with the privacy settings that these networks offer. Privacy policies reveal how this content can be used, and in many cases, even when deleted, they continue to exist for a period of time. In order to propose a different paradigm, this thesis proposes the development of a solution that provides a greater control over this content, and improves privacy and security settings when publishing and sharing. It will therefore be presented an architecture and a prototype based on this solution. For their evaluation and validation, the results are collected and analyzed by conducting two surveys, particularly on social networking usage habits for users, security and privacy in social networks, and gathering feedback from the prototype testing