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(a)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.
