Title: Science of CyberSecurity Research Positions:Post-Docs, Interns, Coops, Scholarship for Service Location: Army Research Laboratory, Adelphi, MD Contact: Dr. Robert F. Erbacher Robert.F.Erbacher@us.army.mil 301-394-1674 We are looking for Post-Docs, Interns, and Coops to join the Army Research Laboratory in the area of Science of CyberSecurity. This is a unique opportunity to work with actual analysts on real data. Post-Docs can be funded through either NRC or ORAU. We can also work with Scholarship for Service students. ORAU: http://www.orau.org/arlpostdocfellowship/applicants/cisd/cisd-science_cyber_... NRC: http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=76&ROPCD=... The main focus of the research is described below; though we are looking to expand our capabilities so applicants in all areas of cybersecurity or domains applicable to solving cybersecurity problems are also of interest. Please feel free to contact me with any questions. The goal of this research is to examine the issues underlying cybersecurity, devising novel theoretical constructs on which future cybersecurity advances will be based. Research focuses on developing theories, models, and understanding that will lead to more effective intrusion detection techniques (e.g., how data can be effectively visualized for decision makers and how can existing information be acquired and fused with the effect of engendering greater understanding of events. Some specific areas of research being considered include but are not limited to: (1) exploring models for the representation of cybersecurity (e.g., game theory); (2) exploring ensemble techniques for improved detection with consideration of Byzantine General type attacks; (3) considering forensics and anti-forensics in the context of cybersecurity, both as a representational model as well as an analysis paradigm; (4) considering behavior as a fundamental indicator in detection and analysis; (5) acquiring improved network understanding with the goal of improving detection; and (6) developing novel detectors based on improved understanding to achieve low FP and FN. This is an opportunity to have a significant impact on future cybersecurity research, work with actual analysts in the network analysis domain, validate theories with ARL scientists, and test techniques on real-world data. Keywords: Cybersecurity; Intrusion detection; Visualization; Cybersecurity theory; Cybersecurity models; Cybersecurity foundations; Network understanding; Ensemble techniques; Evidence fusion; ** Please note that we can only take US citizens.