ABSTRACT
Security has many dimensions including confidentially, privacy, trust, availability, and dependability among others. This chapter provides an overview of confidentiality, privacy, and trust (CPT) considerations with respect to inference with an emphasis on big data systems such as social media systems. It discusses a framework for enforcing CPT for the semantic web and privacy for the semantic web, and describes our approach to confidentiality and inference control. The chapter also discusses aspects of the security and privacy relationship to the inference problem with respect to social media data. The general process of CPT is to first establish a relationship of trust and then negotiate privacy and confidentiality policies. Social media systems are especially prone to privacy violations as the members post so much information about themselves. CPT are crucial services that must be built into a big data system such as a social network.
