Event Title

Business Intelligence and Security of Big Data

Faculty Mentor

Ping-Tsai Chung

Major/Area of Research

Computer Science

Description

Today’s big data come from everywhere of our living world! Web logs, RFID, GPS systems, sensor networks, social networks, Internet-based text documents, Internet search indexes, call records, astronomy, atmospheric science, biology, genomics, nuclear physics, biochemical experiments, medical records, scientific research, military surveillance, multimedia archives, and more. Utilizing Big Data and Smart Technology, we could develop effective healthcare services and applications to prevent disease and improve human lives. In this research, we present Case Study of Companies that use Big Data Analytics for improving their businesses. We then address major Security & Privacy Challenges. Finally, we present key recommendations in helping mitigate the security & privacy risks and threats identified in the Big Data ecosystem.

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Business Intelligence and Security of Big Data

Today’s big data come from everywhere of our living world! Web logs, RFID, GPS systems, sensor networks, social networks, Internet-based text documents, Internet search indexes, call records, astronomy, atmospheric science, biology, genomics, nuclear physics, biochemical experiments, medical records, scientific research, military surveillance, multimedia archives, and more. Utilizing Big Data and Smart Technology, we could develop effective healthcare services and applications to prevent disease and improve human lives. In this research, we present Case Study of Companies that use Big Data Analytics for improving their businesses. We then address major Security & Privacy Challenges. Finally, we present key recommendations in helping mitigate the security & privacy risks and threats identified in the Big Data ecosystem.