Theses and Dissertations
CROSS-DOMAIN IDENTIFICATION OF ROAD NETWORKS USING DOMAIN-ADAPTED CONVOLUTIONAL NEURAL NETWORKS
(Monterey, CA; Naval Postgraduate School, 2020-03)
Convolutional neural networks (CNNs) are a powerful tool for identification of patterns and objects within imagery or video. Training CNNs that can generalize well to their intended target dataset can require large amounts ...
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. ...
IDENTITY OBFUSCATION THROUGH THE EXCHANGE OF KEYSTROKE BIOMETRIC DATA
(Monterey, CA; Naval Postgraduate School, 2020-03)
The study of keystroke dynamics began decades ago, but the field has become increasingly relevant due to current events that have increased public awareness of the erosion of internet privacy. Web servers of 2020 are highly ...
USING AUGMENTED REALITY TO ENHANCE SITUATIONAL AWARENESS FOR AIRCRAFT TOWING
(Monterey, CA; Naval Postgraduate School, 2020-06)
According to FY2014–FY2019 USN Web-Enabled Safety System data, 35 mishaps and 24 hazardous incidents (i.e., HAZREPS) occurred because of aircraft towing collisions, resulting in a monetary impact in excess of $14.4 million. ...
METAMORPHIC AND POLYMORPHIC TECHNIQUES FOR OBFUSCATION OF K-ARY MALICIOUS CODES
(Monterey, CA; Naval Postgraduate School, 2020-06)
K-ary malicious codes are a form of obfuscated malware in which the malicious code is distributed across K-distinct files; detecting these codes is computationally very difficult. Encryption, metamorphism, and steganography ...
STATIC ANALYSIS TOOLS FOR DETECTING STACK-BASED BUFFER OVERFLOWS
(Monterey, CA; Naval Postgraduate School, 2020-06)
Buffer overflows are common software vulnerabilities; it is possible for a program to write outside of the intended boundary of a buffer. In most cases, this causes the program to crash. In more dangerous situations, a ...
CHARACTERIZING INFORMATION LEAKAGE FROM USER DEFINED INPUT EVENTS
(Monterey, CA; Naval Postgraduate School, 2020-06)
Computer operators cannot comprehend the amount of identifying information that a single machine regularly broadcasts over the internet. These seemingly benign bits of information have the ability to create unintended and ...
REPEATABLE UNIT TESTING OF DISTRIBUTED INTERACTIVE SIMULATION (DIS) PROTOCOL BEHAVIOR STREAMS USING WEB STANDARDS
(Monterey, CA; Naval Postgraduate School, 2020-06)
The IEEE Distributed Interactive Simulation (DIS) protocol is used for high-fidelity real-time information sharing among simulations and trainers across the entire international Modeling and Simulation (M&S) community. If ...
USING BLOCKCHAIN TECHNOLOGY FOR TAMPER-RESISTANT LOGGING IN A MULTILEVEL SECURITY ENVIRONMENT
(Monterey, CA; Naval Postgraduate School, 2020-06)
Logs from IT systems constitute a crucial source of information about events that have taken place with the systems. The use cases for this information include intrusion detection, forensics, and identification of faulty ...
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Computer Science (CS) (131)