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Name: Mohammed Istiaq Ullah
Type: User
Name: Mohammed Istiaq Ullah
Type: User
Reference implementations of data-intensive algorithms in MapReduce and Spark
The project is to crack crib dragging in an efficient way. It will crib drag 5,000 most common English vocabularies on the cipher text and collect all the words that are partially/entirely recognized as an English word. The method saves us a lot of time on going through thousands of impossible matches. It also provide us the potential to start the dragging trial from longer length word, which turns out to be most likely to existed. To reveal the real plain text, please use the great crib dragging tools from https://github.com/SpiderLabs/cribdrag to help the cracking while generate a bunch of high possible candidates from this project.
Roadmap to becoming a web developer in 2019
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