592 research outputs found
THE SCIENCE OF SPEECH: DEVELOPING A COMPUTATIONAL MODEL FOR DIGITAL COMMUNICATION AND ITS RAMIFICATIONS FOR AUTHOR IDENTIFICATION IN CYBERSECURITY
Get PDFGreat strides have been made in identifying an author on the web by analyzing keystroke input, even down to determining what operating system the person was writing on at the time. Likewise, studying the author’s semantics and syntax provides helpful clues as to the identity of the author and whether or not the author is attempting to commit a forgery of some kind. However, most parse trees focus on either the human, or the machine, side of the Human-Machine Interface (HMI). Incorporating both sides of the HMI better accounts for the unique digital signature every web author creates by analyzing stylometry and keystroke dynamics. This research could be instrumental not only in finding malicious actors on the web, but also in distinguishing humans from machines by the way they use words. Thus, combining typing times with part-of-speech (POS) tags demonstrates crucial differences in where authors are likely to spend the most time in sentence composition.Approved for public release; distribution is unlimited.CivilianSFShttp://archive.org/details/thescienceofspee109456489
Cryptogamen-flora, enthaltend die abbildung und beschreibung der vorzüglichsten cryptogamen Deutschlands und der angrenzenden länder ...
No full textPart 2 has t.-p.: Die pilze ... 1875.Mode of access: Internet
Compressive Membrane Action in Immersed Tubes: A Finite Element Study
No full textCompressive membrane action is a phenomenon commonly found in reinforced concrete structures after significant cracking and deformation have taken place. In this thesis report, the potential benefit of CMA in immersed tubes subjected to fires is quantified through a finite element study. Furthermore, sensitivity studies are conducted in order to determine the boundary conditions necessary in immersed tubes to induce CMA.Civil Engineering | Structural Engineerin
Briefe von Dunkelmännern an Magister Ortvinus Gratius aus Deventer /
No full textContains translation of the 1st series (4 letters) with appendix (7 letters) and the 2d series (62 letters) Authorship formerly attributed to Reuchlin, Erasmus, Hutten and others; more recently Crotus Rubeanus and Ulrich von Hutten are credited with being the main contributors.Mode of access: Internet
Novel topic authorship attribution
Get PDFThe practice of using statistical models in predicting authorship (so-called author-attribution models) is long established. Several recent authorship attribution studies have indicated that topic-specific cues impact author-attribution machine learning models. The arrival of new topics should be anticipated rather than ignored in an author attribution evaluation methodology; a model that relies heavily on topic cues will be problematic in deployment settings where novel topics are common. In order to effectively deal with novel topics, we create author and topic vectors and attempt to project out the topic influences from each document. Although our experiments did not validate our assumptions, they do point out a possible problem with a common assumption in authorship attribution research.Approved for public release; distribution is unlimited.Outstanding Thesishttp://archive.org/details/noveltopicuthors10945576
- …
