Big Data Security, Privacy and Trust

During latest years, data production rate has been growing exponentially. Many organizations demand efficient solutions to store and analyse these big amount data that are preliminary generated from various sources such as high quantity instruments, sensors or connected devices. For this determination, big data technologies can utilize cloud computing to provide significant benefits, such as the availability of automatic tools to assemble, connect, configure and reconfigure virtualized properties on demand. These make it much easier to meet organizational goals as organizations can easily deploy cloud services.

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

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