Opportunity at Davies Teaching Fellowships (ARL/USMA)
Monitoring, Metrics, and Performance Analysis for Intrusion Detection Networks
MD and NM-Computational and Information Sciences-FFP, Computational and Information Sciences Directorate - FFP
||Adelphi, MD 207831197
Challenging research opportunities exist in continuous monitoring, identifying metrics, developing models, and analyzing performance for intrusion detection systems and networks. Specific opportunities exist in the following areas: (1) identifying metrics and continuous monitoring techniques for assessing cyber vulnerability and degree of adversarial activity over wired and wireless networks with distributed intrusion detection sensors; (2) developing experimentally-validated models and computing performance by analyzing, simulating, and/or emulating network traffic, intrusions, false positives, and negatives; (3) data fusion, filtering, and secure aggregation in networks with intrusion detection sensors and possibly mobile nodes; and (4) validation methods for intrusion detection models, systems, and tools.
Monitoring wired and wireless networks; Intrusion detection systems; Identifying metrics; Performance analysis; Data fusion; Sensors; Network theory and modeling; Secure aggregation;
Open to U.S. citizens
Open to Postdoctoral applicants