1. Thesis and Dissertation Collection, all items
AN EVALUATION OF USING DETERMINISTIC HEURISTICS TO ACCELERATE REINFORCEMENT LEARNING
(Monterey, CA; Naval Postgraduate School, 2018-12)
Neural networks frequently face long training times based on the corpus of data available to them. Reinforcement learning in particular can take a long time to attain satisfactory performance. Recent efforts to incorporate ...
AN IN-DEPTH ANALYSIS OF A MACHINE-LEARNING-BASED NETWORK ROUTING PROTOCOL FOR NETWORKING IN A HIGHLY MOBILE TOPOLOGY
(Monterey, CA; Naval Postgraduate School, 2018-12)
This thesis studies the performance of a machine-learning-based DTN routing protocol, QGeo. QGeo is based on the reinforcement learning model called Q-learning whereby an agent in some context takes an action, gains a ...
SCALING NETWORK TARPITS FOR IPV6
(Monterey, CA; Naval Postgraduate School, 2018-12)
Cyberspace is vital to the application of joint military operations, to the advancement of economic growth, and to the enhancement of day-to-day life. As such, its defense is critical, yet its defense is also difficult, ...
UNDERWATER MASKED CARRIER ACOUSTIC COMMUNICATION: MODELING AND ANALYSIS
(Monterey, CA; Naval Postgraduate School, 2018-06)
As naval warfighting capabilities evolve, the need for innovative communication techniques for tactics and command and control increases. Using Navy sonar systems normally reserved for conventional communication in the ...
Longitudinal study of large-scale traceroute results
(Monterey, California: Naval Postgraduate School, 2018-03)
Traceroute is a popular active probing technique used by researchers, operators, and adversaries to map the structure and connectivity of IP networks. However, traceroute is susceptible to making inaccurate inferences. ...
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2018 (5)