Topics of interest include the following, but not limited to:

Big Data Science and Foundations:

• New Data Standards
• Novel Theoretical Models for Big Data
• Data and Information Quality for Big Data
• New Computational Models for Big Data

Big Data Security, Privacy and Trust:

• Threat Detection using Big Data Analytics
• Privacy Threats of Big Data
• User Studies for any of the above
• Intrusion Detection for Gigabit Networks
• Visualizing Large Scale Security Data
• Privacy Preserving Big Data Collection/Analytics
• HCI Challenges for Big Data Security & Privacy
• Anomaly and APT Detection in Very Large Scale Systems
• High Performance Cryptography
• Sociological Aspects of Big Data Privacy
• Trust management in IoT and other Big Data Systems

Big Data Infrastructure:

• Cloud/Grid/Stream Computing for Big Data
• High Performance/Parallel Computing Platforms for Big Data
• Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
• Energy-efficient Computing for Big Data
• Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
• Software Techniques and Architectures in Cloud/Grid/Stream Computing
• Big Data Open Platforms
• New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
• Software Systems to Support Big Data Computing