Track 2: Cyber Research

Cyber Research

Students apply their skills to develop innovative solutions to help address national cyber threats. Students work in small teams on a cyber research project, guided by mentors with scientific and computing expertise in the cyber domain.

Projects may include:

cyber analytics (scalable “big data” processing, statistical inference, anomaly detection, deep learning)

data integrity (steganography, encryption, adversarial machine learning)

intrusion detection and analysis (malware reverse engineering, network/protocol analysis)

cyber-physical system security (complex systems, physical attacks against cyber systems)

For more information on research areas see Students gain experience in communicating their work through posters and oral presentations. In addition, students attend seminars by LANL researchers and external visitors and given the opportunity to take short courses in core cyber subjects outlined in the Incident Response Track.

Applications will be reviewed on a rolling basis