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.
| Identifer | oai:union.ndltd.org:siu.edu/oai:opensiuc.lib.siu.edu:theses-3262 |
| Date | 01 December 2017 |
| Creators | Mandapaka, Ajay |
| Publisher | OpenSIUC |
| Source Sets | Southern Illinois University Carbondale |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses |
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