LATEST PBD RELEASE: REVISION 21 (05-10-2003)
Last Updated Friday, June 20, 2003
Welcome to the Progressive Bit Distribution home page, where you can get information on Roy Mayhall II's PBD data analysis algorithm and the methodology behind it. You can also download the latest version of both the C source code and executable, and get all the details behind it. Also, you can check upon the public acceptance and development efforts of the algorithm.
Progressive bit distribution, or PBD, is a means of attaining the proportional uniform distribution and content utilization in a data sequence. This has main applications in the analysis of digital data streams that must be dense in information content and exhibit random characteristics, in which case data is distributed evenly and does not exhibit patterns (or "digital fingerprints"). Therefore, the PBD algorithm is most commonly used as an assessment for ciphertexts, as a means of ascertaining the effectiveness of encryption algorithms in obfuscating data.
Research is underway to uncover applications of the PBD algorithm outside of digital data analysis, to solve more common problems in probability in varying types of data sequences.
Based upon common laws of event probability and uniform distribution, the PBD algorithm was originally designed and written by Roy Mayhall II in early 2003, with analytical assistance from Marathon Computer Press (http://www.marcompress.com), which utilizes PBD in its publicly-available Encryption Torture Test (ETT) ciphertext analysis suite. It was originally designed to assist in the raw data analysis of the outputs of encryption algorithms (as Roy Mayhall II is developing an encryption algorithm himself), but recent evidence suggests that PBD may also be applicable to "real-world" applications that involve probability ratios in data sequences.
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