Abstract
Communication theory of secrecy systems as well as information theory in terms of Claude E. Shannon not only explains the solvability but also explores the theoretical secrecy of cryptograms by modeling information sources in higher order statistics, so-called a priori transition probabilities. In order to understand messages as stochastic processes in time, the mathematical theory of communication is historically traced back to World War II and into two fields of knowledge: biopolitics and intuitive algebra.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
