ABSTRACT
This chapter addresses the limitations of big data management and analytics (BDMA) and big data security and privacy (BDSP) experimental education and infrastructure programs and proposes to design such programs at The University of Texas at Dallas. It discusses some of our relevant current research and infrastructure development activities in BDMA and BDSP. The topics include secure data provenance, cyber physical systems security, data analytics for insider threat detection, secure cloud, secure cyber-physical systems, and trusted execution environments. For BDMA the authors will enhance our current BDMA course with experiments dealing with real-world applications including in atmospheric science. Cyber-Provenance Infrastructure for Sensor-based Data-Intensive Research provides researchers with provenance and metadata about data being collected by sensors. The chapter describes a sample of our cyber security courses that are being enhanced with BDSP models. These are: data and applications security; system security and binary code analysis; big data analytics and management; secure cloud computing; and secure cyber-physical systems and critical infrastructures.
