Rebekah Overdorf

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Forensic stylometry is a form of authorship attribution that relies on the linguistic information found in a document. While there has been significant work in stylometry, most research focuses on the closed-world problem where the document’s author is in a known suspect set. For open-world problems where the author may not be in the suspect set,(More)
This work addresses fundamental questions about the nature of cybercriminal organization. We investigate the organization of three underground forums: BlackhatWorld, Carders and L33tCrew to understand the nature of distinct communities within a forum, the structure of organization and the impact of enforcement, in particular banning members, on the(More)
Flow of the Classify-Verify algorithm on a test document D and a suspect set A, with optional acceptance threshold t and in-set prob. p. The Classify-Verify Algorithm Input: Document D, suspect author set A = {A1, ...,An}, target measure to maximize μ Optional: in-set prob. p, manual threshold t Output: AD if AD ∈ A, and ⊥ otherwise CA← classifier trained(More)
Recent studies have shown that Tor onion (hidden) service websites are particularly vulnerable to website fingerprinting attacks due to their limited number and sensitive nature. In this work we present a multi-level feature analysis of onion site fingerprintability, considering three state-of-the-art website fingerprinting methods and 482 Tor onion(More)
Stylometry is the study of writing style based on linguistic features and is typically applied to authorship attribution problems. In this work, we apply stylometry to a novel dataset of multi-authored documents collected from Wikia using both relaxed classification with a support vector machine (SVM) and multi-label classification techniques. We define(More)
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