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Computer Sciences

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Georgia Southern University

Electronic Theses and Dissertations

Theses/Dissertations

2017

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Examining And Exposing The Darknet, Ton H. Don Jan 2017

Examining And Exposing The Darknet, Ton H. Don

Electronic Theses and Dissertations

This thesis consists of two studies; the first study is “Diving into the Darknet” and the second is “Exposing the Darknet on Mobile Devices”. The Darknet is a network of hidden sites and services which are built based on anonymity. In “Diving into the Darknet”, we applied different data science methods to establish the relationships between the data in the data set. This data set has information related to seller, drug types, and transactions. Additionally, we used Tableau to visualize the data set. For the second study, we took a digital forensics perspective of the Darknet. Orfox and Orbot, a …


Modeling Volatility Of Financial Time Series Using Arc Length, Benjamin H. Hoerlein Jan 2017

Modeling Volatility Of Financial Time Series Using Arc Length, Benjamin H. Hoerlein

Electronic Theses and Dissertations

This thesis explores how arc length can be modeled and used to measure the risk involved with a financial time series. Having arc length as a measure of volatility can help an investor in sorting which stocks are safer/riskier to invest in. A Gamma autoregressive model of order one(GAR(1)) is proposed to model arc length series. Kernel regression based bias correction is studied when model parameters are estimated using method of moment procedure. As an application, a model-based clustering involving thirty different stocks is presented using k-means++ and hierarchical clustering techniques.


Oasis - Identifying The Core Attributes For Rdbms Alternatives, Benjamin P. Mcpherson Jan 2017

Oasis - Identifying The Core Attributes For Rdbms Alternatives, Benjamin P. Mcpherson

Electronic Theses and Dissertations

Since their introduction in the 1970s, relational database management systems have served as the dominate data storage technology. However, the demands of big data and Web 2.0 necessitated a change in the market, sparking the beginning of the NoSQL movement in the late 2000s. NoSQL databases exchanged the relational model and the guaranteed consistency of ACID transactions for improved performance and massive scalability [1]. While the benefits NoSQL provided proved useful, the lack of sufficient SQL functionality presented a major hurdle for organizations which require it to properly operate. It was clear that new RDBMS solutions which did not compromise …