MARS
MARS is a repository service of Mason Publishing and the Digital Scholarship Center (DiSC) at the George Mason University Libraries. MARS provides enduring, stable, well-indexed access to a wide range of scholarship from the Mason community, such as Electronic Theses and Dissertations (ETDs), articles, presentations, reports, and creative work. Learn more about publishing, sharing, and preserving research data with the George Mason University Institutional Dataverse, and our other repository services.
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Recent Submissions
Beyond a Land Acknowledgement: Taking a First Step Towards Reparative Action
(Journal of Radical Librarianship, 2024-06-27) Lemmons, David X.; Anantachai, Tarida; Bell, Kat; Byrd, Jason; James, Heather; Quintana, Erika; Ventura, Gerie; Warren, Mea
The Logistics Committee of the Conference on Academic Library Management (CALM)’s 2023 conference posed a question early on in conference planning: what if we rejected the traditional model of land acknowledgements? In answering that question, the committee embarked on a year-long process to radically revise the statement to one focused on reparative action. This article covers the revision process, including what inspired it and how the committee structured their work.
A Behavioral Approach to Worm Detection
(2006-08) Ellis, Daniel R.; Ammann, Paul
This dissertation presents a novel approach to the automatic detection of worms using behavioral signatures. A behavioral signature describes aspects of any worm’s behavior that are common across manifestations of the worm and that span its nodes in temporal order. Characteristic patterns of worm behaviors in network traffic include 1) engaging in similar network behaviors from one target machine to the next, 2) tree-like propagation, and 3) changing a server into a client. These behavioral signatures are presented within the context of a general worm model. The most significant contribution of this dissertation is the demonstration th at an accurate and fast worm detection system can be built using the above patterns. Further, I show that the class of worms detectable using these patterns exceeds what has been claimed in the literature and covers a significant portion of the classes of worms.
Another contribution is the introduction of a novel paradigm—Network Application Architecture (NAA), which concerns possible ways to distribute network application functionality across a network. Three NAAs are discussed. As an NAA becomes more constrained, worm detection gets easier. It is shown that for some NAAs certain classes of worms can be detected with only one packet.
The third significant contribution of this dissertation is the capability to evaluate worm detection systems in an operational environment. This capability can be used by other researchers to evaluate their own or others’ worm detection systems. The claim is that the capability can emulate practically all worms and that it can do so safely, even in an operational enterprise environment.
Surviving NIBRS: Restoring America’s Unreported Homicides and Exploring the Influences for Law Enforcement’s Declining Cooperation in Crime Reporting
(2023-11-30) Hargrove, Thomas Kirk; Dong, Beidi
FBI adoption of the National Incident Based Reporting System (NIBRS) in 2021 as the mandatory reporting standard for crime data resulted in an unprecedented decline in police reporting to the federal government. Only 57 percent of the nation’s homicides were reported that year. This study obtained more than 6,000 unreported homicides from local and state police agencies using Freedom of Information Act and Open Record Act requests. The study compares FBI data and the study’s augmented dataset for accuracy and completeness using the National Vital Statistics System as a reference. This study also used a 3,134-county regression analysis to explore the socioeconomic factors associated with police decisions to participate, or to decline participation, in the more complex NIBRS program.
The Krewe de Jeanne d’Arc and the New Orleans Joan of Arc Parade
(2022-12-02) Van Wey, Ken; Lattanzi Shutika, Debra
The Joan of Arc Parade, an annual marching event in the French Quarter of New Orleans, marks the passage from Christmas into Carnival. Begun in 2008, the parade contimues many New Orleans Carnival traditions and group structures while reflecting modern political and social attitudes. This paper draws on academic research, interviews, and participant observation to explore the evolving role of this parade and its organizers, the Krewe de Jeanne d’Arc, in New Orleans Carnival celebrations.
Broad and fine acoustic categories in bod, bond, bald, and bard: A step toward acoustic phonology
(2024-05-17) Kelley, Matthew C.
Acoustics is central to the study of speech communication, but it is conspicuously under-represented in abstract representations of speech. Many flavors of phonological analysis tend toward articulatory descriptions, and transcriptions focus on strings of articulatory actions. All this is despite acoustics being easier to measure than articulation with current technology. The present study explores basic concepts for an acoustic phonology, with two types of postulated categories: broad and fine. Resonant, turbulent, transient, and occludent types of sounds comprise the broad categories, as general methods of filtering the speech source. Fine categories are conceptualized as specific types of acoustic actions within a broad category. These acoustic actions are goal-oriented, as for achieving a particular acoustic effect like the presence of antiformants or a lowered F2 or F3. However, these actions are not explicitly restricted to manipulating traditional phonetic features like formants. By default, fine categories are assumed to be produced in parallel when possible, yielding overlap effects like anticipatory nasalization, lateralization, and rhotacization. These concepts are explored in a microanalysis of bod, bond, bald, and bard from the speaker in the Massive Auditory Lexical Decision data set, with an eye to seeding the ground for a future acoustic phonology.