Security, Privacy, and Trust for User-Generated Content
Document Type
Book Chapter
Publication Date
2017
Publisher
Chapman and Hall/CRC
Abstract
With the rapid development of ubiquitous computing, more individual users are getting used to generate, share, and exchange excessive amount of digital media content on the Internet. Such content, which is also called user-generated content (UGC), has become an essential source of today's big data. The anonymity and simplicity of generating such content, however, make it extremely difficult to guarantee the quality. Furthermore, the significant value of UGC also attracts malicious users' attention and leads to diverse profit-driven attacks, raising great concerns on its security, trustworthiness, and privacy.
This chapter starts with introducing the relationship between UGC and big data as well as UGC classification. A system model is then established to describe UGC-centric platforms, providing the foundation for the later understanding of the challenges and solutions in such platforms. The main theme of this chapter is to provide a comprehensive review on the emerging security, privacy, and trust challenges for UGC as well as the state-of-the-art defense solutions. The relationship among security, privacy, and trust in the big data context is also discussed in details.
Chapter of
Big Data Management and Processing
Editor
Kuan-Ching Li
Hai Jiang
Albert Y. Zomaya
Recommended Citation
Liu, Y., Wang, Y., & Ling, N. (2017). Security, Privacy, and Trust for User-Generated Content: The Challenges and Solutions. In K.-C. Li, H. Jiang, & A. Y. Zomaya (Eds.), Big Data Management and Processing. Chapman and Hall/CRC.
