Originally presented as the author's Thesis (doctoral)--Universität Hamburg, 2006. / Includes bibliographical references (p. 425-474).

Thesis (M.A.)--University of North Carolina Wilmington, 2009 / Title from PDF title page (January 13, 2010) Includes bibliographical references (p. 53-56)

Thesis (M.A.)--University of Missouri-Columbia, 2008. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 12, 2009) Includes bibliographical references.

Typescript. Includes vita and abstract. Includes bibliographical references (leaves 132-142). Also available online.

Thesis (M.A.)--Rowan University, 2005. / Typescript.

Thesis (M.A. in Security Studies (Homeland Security and Defense))--Naval Postgraduate School, March 2005. / Thesis Advisor(s): Robert L. Simeral, Steven B. Ashby. Includes bibliographical references (p. 55-57) Also available online.

Thesis (M.A.)--Ohio State University, 2006. / Includes bibliographical references (leaves 83-88). Available online via OhioLINK's ETD Center

Thesis (M.A.)--Brigham Young University. Dept. of Communications, 2004. / Includes bibliographical references (p. 67-70).

Thesis (M.A.)--Bowling Green State University, 2006. / Document formatted into pages; contains ix, 254 p. : ill. Includes bibliographical references.

Password cracking based on dictionary attacks have been confined only to the use of dictionary strings which make sense to both humans and the computer or are usually alphanumeric keyboard patterns. But here we also try to extend the dictionary attacks to homophones which the millennials tend to use more often. The word LOVE is used as LUV, LAV. Based on the pronunciation of a word there can be many spellings to it. Phoneme to Grapheme Correspondences have a great amount of significance here. So here in this research we try to incorporate all such words in the attacking dictionary with the highest possible probabilities to see if it has any impact on the password cracking efficiency. We use the probabilistic context-free grammar password cracker to see what our test results yield.