User Behavioral Modeling of Web-based Systems for Continuous User Authentication

Authentication plays an important role in how we interact with computers, mobile devices, the web, etc. The idea of authentication is to uniquely identify a user before granting access to system privileges. For example, in recent years more corporate information and applications have been accessible via the Internet and Intranet. Many employees are working from remote locations and need access to secure corporate files. During this time, it is possible for malicious or unauthorized users to gain access to the system. For this reason, it is logical to have some mechanism in place to detect whether the logged-in user is the same user in control of the user's session. Therefore, highly secure authentication methods must be used. We posit that each of us is unique in our use of computer systems. It is this uniqueness that is leveraged to "continuously authenticate users" while they use web software. To monitor user behavior, n-gram models are used to capture user interactions with web-based software. This statistical language model essentially captures sequences and sub-sequences of user actions, their orderings, and temporal relationships that make them unique by providing a model of how each user typically behaves. Users are then continuously monitored during software operations. Large deviations from "normal behavior" can possibly indicate malicious or unintended behavior. This approach is implemented in a system called Intruder Detector (ID) that models user actions as embodied in web logs generated in response to a user's actions. User identification through web logs is cost-effective and non-intrusive. We perform experiments on a large fielded system with web logs of approximately 4000 users. For these experiments, we use two classification techniques; binary and multi-class classification. We evaluate model-specific differences of user behavior based on coarse-grain (i.e., role) and fine-grain (i.e., individual) analysis. A specific set of metrics are used to provide valuable insight into how each model performs. Intruder Detector achieves accurate results when identifying legitimate users and user types. This tool is also able to detect outliers in role-based user behavior with optimal performance. In addition to web applications, this continuous monitoring technique can be used with other user-based systems such as mobile devices and the analysis of network traffic.

The Educational Imaginary in Radical Reconstruction: Congressional Public Policy Rhetoric and American Federalism, 1862-1872

Facing the exigencies of Emancipation, a South in ruins, and ongoing violence, between 1862 and 1872 the United States Congress debated the role education would play in the postbellum polity. Positing schooling as a panacea for the nation’s problems, a determiner of individual worth, and a way of ameliorating state and federal tensions, congressional leaders envisioned education as a way of reshaping American political life. In pursuit of this vision, many policymakers advocated national school agencies and assertive interventions into state educational systems. Interrogating the meaning of “education” for congressional leaders, this study examines the role of this ambiguous concept in negotiating the contradictions of federal and state identity, projecting visions of social change, evaluating civic preparedness, and enabling broader debates over the nation’s future. Examining legislative debates over the Reconstruction Acts, Freedmen’s Bureau, Bureau of Education, and two bills for national education reform in the early 1870s, this project examines how disparate educational visions of Republicans and Democrats collided and mutated amid the vicissitudes of public policy argument. Engaging rhetorical concepts of temporality, disposition, and political judgment, it examines the allure and limitations of education policy rhetoric, and how this rhetoric shifted amid the difficult process of coming to policy agreements in a tumultuous era. In a broader historical sense, this project considers the role of Reconstruction Era congressional rhetoric in shaping the long-term development of contemporary Americans’ “educational imaginary,” the tacit, often unarticulated assumptions about schooling that inflect how contemporary Americans engage in political life, civic judgment, and social reform. Treating the analysis of public policy debate as a way to gain insights into transitions in American political life, the study considers how Reconstruction Era debate converged upon certain common agreements, and obfuscated significant fault lines, that persist in contemporary arguments.

BLACK, MALE, AND HIGH-ACHIEVING: AN EXAMINATION OF A RISK FACTOR AND CULTURAL RESOURCES FOR BLACK MALE ACADEMIC ACHIEVEMENT

Black boys are confronted with unique educational circumstances. They are often misdiagnosed and misplaced into special education programs (Bush-Daniels, 2008; Patton, 1998; Terman et al., 1996). Additionally, they are less likely to be enrolled in gifted and talented programs, even if their former achievements reflect their aptitude to succeed (Black Alliance for Educational Options, n.d.; Moore & Flowers, 2012). Given these statistics, a considerable emphasis has been placed on the causes and the consequences of low/under achievement for this population. As a result, the experiences of Black males who are achieving have been greatly neglected. Moreover, little is known about the factors that facilitate academic achievement among high-achieving Black boys. In an effort to bring the heterogenic nature of schooling experiences for Black boys to light, the present study examined the influence risk and protective factors had on the academic experiences of high-achieving Black boys. Grounded in the risk and resilience framework and the Integrative Model for the Study of Minority Youth Development, this study explored whether the high-achieving Black high school boys in this sample (n =88) reported experiencing discrimination (i.e. academic-based) and how this academic-based discrimination related to their 1) academic performance (i.e. GPA), 2) perceptions of math ability, and 3) race-based academic self-concept. In addition to exploring how academic-based discrimination was linked to academic achievement, this study examined how cultural resources such as racial socialization messages and racial identity related to academic achievement. Specifically, cultural socialization, preparation for bias, egalitarianism, private regard and public regard were evaluated alongside the three academic outcomes under study. Finally, the study explored whether aspects of racial socialization or racial identity buffered the effects of discrimination on any of the outcomes. Interestingly, the race/ethnicity of the student mattered for how students perceived their math ability. The risk factor academic-based discrimination was linked to academic performance. Cultural resources cultural socialization, preparation for bias, and private regard were linked to various academic outcomes of interest. There was only one significant moderating effect: a high private regard buffered the relationship between academic-based discrimination and race-based academic self-concept. Limitations and implications of this study are discussed.