Dr. Jacob A. Mauslein

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Dissertation: “Three Essays on International Cyber Threats: Target Nation Characteristics, International Rivalry, and Asymmetric Information Exchange”

Abstract: As the Internet is progressively integrated into industrial and defense-related networks around the globe, it is becoming increasingly important to understand how state and sub-state groups can use Internet vulnerabilities as a conduit of attack. The current social science literature on cyber threats is largely dominated by descriptive, U.S.-centric research. While this scholarship is important, the findings are not generalizable and fail to address the global aspects of network vulnerabilities. As a result, this dissertation employs a unique dataset of cyber threats from around the world, spanning from 1990 to 2011. This dataset allows for three diverse empirical studies to be conducted. The first study investigates the political, social, and economic characteristics that increase the likelihood of a state being targeted for cyber threats. The results show that different state characteristics are likely to influence the forms of digital attack targeting. For example, states that experience increases in GDP per capita and military size are more likely to be targeted for cyber attacks. Inversely, states that experience increases in GDP per capita and those that are more democratic are less likely to be targeted for cyber terrorism. The second study investigates the role that international rivalries play in cyber threat targeting. The results suggest that states in rivalries may have more reason to strengthen their digital security, and rival actors may be cautious about employing serious, threatening forms of cyber activity against foes because of concerns about escalation. The final study, based upon the crisis bargaining theory, seeks to determine if cyber threat targeting decreases private information asymmetry and therefore decreases conflict participation. Empirical results show that the loss of digital information via cyber means may thus illicit a low intensity threat or militarized action by a target state, but it also simultaneously increases the likelihood that a bargain may be researched, preventing full scale war by reducing the amount of private information held between parties.

These three essays are currently being prepared for publication.  The full dissertation can be viewed at: http://hdl.handle.net/2097/18147


Nemeth, Stephen C., Jacob A. Mauslein, and Craig Stapley. 2014. “The Primacy of the Local: Identifying Terrorist Hot Spots Using Geographic Information Systems.” The Journal of Politics 76(2): 304-317.

Abstract: Despite the wide range of studies focused on the causes of terrorism, most use the state as the unit of analysis. Doing so, however, overlooks important variation that occurs within the state. Our research seeks to determine the causes of domestic terrorism through a more refined unit of analysis. We do this by using the PRIO-GRID cell structure spatially merged with a geocoded version of the GTD dataset. We then perform a Getis-Ord Gi* hot spot analysis to uncover those local areas most prone to domestic terrorism. Our results indicate the following attributes increase the likelihood of terrorism: mountainous terrain, close proximity to a state capital, large population, high population density, and poor economic conditions. When testing between regime types, we find that factors such as population, economic conditions, and the number of ethnic groups are significant only in democracies, while distance to capital is significant only in autocracies.

This paper is available via Web of Science or JSTOR, or at: http://dx.doi.org/10.1017/S0022381613001333


Aistrup, Joseph A., László J. Kulcsár, Jacob A. Mauslein, Sarah Beach, and David R. Steward. 2013. “Hyper-extractive counties in the U.S.: A coupled-systems approach.” Applied Geography 37(Feb): 88-100.
Abstract: In this paper, we advance a theoretical framework for defining hyper-extractive coupled-systems in theUnited States. Our purpose is to extend a model constructed for an agricultural system in SouthwestKansas into a general theory that can be used to successfully classify counties across the U.S. that dependon the extraction of natural resources. We begin with developing the theoretical foundations for thehyper-extractive coupled-system. We thenfit this theory within the existing literature regarding theclassification of rural counties. Finally, drawing on a coupled humanenatural systems theoreticalframework (Liu et al., 2007), we develop a new spatially based empirical measure of rural context thatcaptures the complex, multidimensional interactions between humans and their natural environments.GIS hot spot and factor analytic techniques are used to empirically identify existing coupled-systems,linking contiguous counties in the rural U.S. based on 35 indicators of land use, employment patterns,demographics, physiography, and climate. In addition to identifying three different types of hyper-extractive counties across the U.S., our approach reveals a number of other coupled-systems based onagriculture and ranching, mining, manufacturing, scenic amenities, and forestry and fishing.

This paper is available for download, free of charge, at: http://www.sciencedirect.com/science/article/pii/S0143622812001038

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