Theses and Dissertations
BLOCKCHAIN SCALABILITY IN SOFTWARE DEFINED NETWORKS
(Monterey, CA; Naval Postgraduate School, 2020-03)
Recent optimizations in blockchain technology and increased utilization of software defined networking (SDN) have led to new opportunities in data center network management. The research problem presented in this study is ...
TOWARD UNDERSTANDING THE LONGITUDINAL STABILITY OF AN IP GEOLOCATION DATABASE
(Monterey, CA; Naval Postgraduate School, 2020-03)
While many IP Geolocation Database (IPGD) studies exist gauging "accuracy" by comparing to ground truth (and other IPGDs), there is a dearth of studies looking at the stability of IPGD locations in longitudinal context. ...
HONOR AMONG THIEVES: ANALYZING LANGUAGE FEATURES OF DARKNET MARKET VENDORS
(Monterey, CA; Naval Postgraduate School, 2020-06)
The World Wide Web enables retailers to provide goods and services to consumers around the globe, including illegal products and services. The digital black market (Darknet) includes digital exploits, hacker-for-hire ...
ARTIFACT MITIGATION IN HIGH-FIDELITY HYPERVISORS
(Monterey, CA; Naval Postgraduate School, 2020-09)
The use of hypervisors for cyber operations has increased significantly over the past decade, resulting in an associated increase in the demand for higher-fidelity hypervisors. These hypervisors would not exhibit the ...
DEPLOYING AN ICS HONEYPOT IN A CLOUD COMPUTING ENVIRONMENT AND COMPARATIVELY ANALYZING RESULTS AGAINST PHYSICAL NETWORK DEPLOYMENT
(Monterey, CA; Naval Postgraduate School, 2020-12)
Industrial control systems (ICSs) provide important services in national critical infrastructure but are increasingly the subject of cyberattacks. The need for ease of maintenance and operational convenience encourages ...
UNSUPERVISED LEARNING OF NETWORK TRAFFIC BEHAVIORS FOR INSIDER THREAT DETECTION
(Monterey, CA; Naval Postgraduate School, 2020-09)
Insider threats are a costly and dangerous problem for government and non-government organizations alike. Considering an insider's inherently privileged level of access on a network, the main principle of network defense'keep ...
A CLIENT/SERVER MODEL FOR AUTOMATED RED TEAMING
(Monterey, CA; Naval Postgraduate School, 2020-12)
Red Team testing is a proven method to improve cybersecurity on organizational networks. However, due to the low availability of required expertise in this field, red teaming is prohibitively expensive to conduct on a large ...
VISUAL MODELING AND SIMULATION OF CRYPTOGRAPHIC PROTOCOLS UNDER CONTESTED ENVIRONMENTS
(Monterey, CA; Naval Postgraduate School, 2022-12)
With an ever-evolving battlefield in cyberspace, it is essential to stay abreast of current and developing security protocols that will maintain a state of authenticity, confidentiality, and integrity between communicating ...
SOFTWARE DEFINED CUSTOMIZATION OF NETWORK PROTOCOLS WITH LAYER 4.5
(Monterey, CA; Naval Postgraduate School, 2022-09)
The rise of software defined networks, programmable data planes, and host level kernel programmability gives rise to highly specialized enterprise networks. One form of network specialization is protocol customization, ...
ENHANCED MULTI-LABEL CLASSIFICATION OF HETEROGENEOUS UNDERWATER SOUNDSCAPES BY CONVOLUTIONAL NEURAL NETWORKS USING BAYESIAN DEEP LEARNING
(Monterey, California. Naval Postgraduate School, 2021-09)
The classification of underwater soundscapes is a challenging task for humans as well as machine learning
systems. This is largely due to the heterogenous nature of these soundscapes, especially in coastal zones close ...
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Lieutenant Commander, United States Navy (20)
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Computer Science (CS) (20)