Abstract: “The analysis of cryptic text is hard problem”, and there is no fixed algorithm for generating plain-text from cipher text. Human brains do this intelligently. The intelligent cryptic analysis process needs learning algorithms, co-operative effort of cryptanalyst and mechanism of knowledge based inference engine. This information of knowledge base will be useful for mining data(plain-text, key or cipher text plain-text relationships), classification of cipher text based on enciphering algorithms, key length or any other desirable parameters, clustering of cipher text based on similarity and extracting association rules for identifying weaknesses of cryptic algorithms. This categorization will be useful for placing given cipher text into a specific category or solving difficult level of cipher text-plain text conversion process. This paper elucidates cipher text-plain text process first than utilizes it to create a framework for AI-enabled-Cryptanalysis system. The process demonstrated in this paper attempts to analyze captured cipher from scratch. The system design elements presented in the paper gives all hints and guidelines for development of AI enabled Cryptic analysis tool.

Shaligram Prajapat, Aditi Thakur, Kajol Maheshwari and Ramjeevan Singh Thakur, “Cryptic Mining in Light of Artificial Intelligence” International Journal of Advanced Computer Science and Applications(IJACSA), 6(8), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060808

@article{Prajapat2015,
title = {Cryptic Mining in Light of Artificial Intelligence},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060808},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060808},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {8},
author = {Shaligram Prajapat and Aditi Thakur and Kajol Maheshwari and Ramjeevan Singh Thakur}
}