HICSS Symposium on Cybersecurity Big Data Analytics

This Symposium enables practitioners and academics to present emerging cybersecurity big data research and challenges in domains such as data collection and processing, data analytics, data handling, machine learning, deep learning, and visualization; as well as to present and discuss potential cybersecurity big data research topics and methodologies of interest to the cybersecurity community. Machine Learning and Analytics cover all forms that leverage or require Big Data for support, including defensive measures, potential threat identification applications, or deep learning opportunities. They also include, but are not limited to, methodologies, techniques, and impacts of real-time processing for incident detection and/or prevention, data review for incident and anomaly detection, post incident response analytics, and IT audit related analytics.