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Workshop Topics

Big data and Cybersecurity research is an interdisciplinary research field involving researchers in information technologies, computer science, public policy, computational social science, social computing, and social and behavioral studies as well as local, state, and federal law enforcement and intelligence experts, and information technology industry consultants and practitioners.

Workshop will include, but is not limited to, the following topics:

  • BigCyber Informatics
    • IoT Security Informatics
    • Intelligence Acquisition
    • Knowledge representation for cybersecurity
    • Information & Knowledge mining from big datasets
  • CyberSecurity Big Data Analytics
    • Real-time situational awareness
    • Artificial Intelligence Analytics Techniques
    • Intrusion and cybersecurity threat detection and analysis
    • Cyber-physical-social system security and incident management
    • Mobile and cloud computing security
    • IoT security
    • Big data analytics for cybersecurity
    • Machine learning for cybersecurity
    • Artificial Intelligence for cybersecurity
    • Big data analytics for digital forensics
  • CyberSecurity Applications
    • Anomaly/threat detection techniques
    • Automated security aids for Analysts
    • Criminal/intelligence information extraction
    • intelligence monitoring and analysis
    • Financial and accounting fraud analysis
    • Authorship analysis and identification
    • Spatial-temporal data analysis for crime analysis and security informatics
    • Formal reasoning, with focus on human element, in cyber systems
    • Best practices in counter-terrorism or security protection
    • Information sharing policy and governance
    • Privacy, security, and civil liberties issues
    • Forecasting threats and measuring the impact of threats
    • Surveillance and intelligence through unconventional means