Windtalking Computers: Frequency Normalization, Binary Coding Systems and Encryption
Givon Zirkind

TL;DR
This paper introduces novel encryption techniques using frequency normalization and alternative binary bases, significantly increasing decryption complexity and aiming for information-theoretic security.
Contribution
It presents two new encryption methods: frequency-based symbol set alteration and binary base variation, enhancing security beyond traditional approaches.
Findings
Frequency analysis becomes ineffective on ciphertext.
Alternative binary bases increase decryption complexity.
Encryption methods are computationally secure against brute force.
Abstract
This paper discusses the application of known techniques, knowledge and technology in a novel way for encryption. Two distinct and separate methods are presented. Method 1: Alter the symbol set of the language by adding additional redundant symbols for frequent symbols. This will reduce the high frequency of more commonly used symbols. Hence, frequency analysis upon ciphertext will not be possible. Hence, decryption will be possible. Method 2: Computers use binary base 2. Most encryption systems use ciphering to convert data to ciphertext. The author presents the theory and several possible implementations of a method for computers analogous to speaking another language. This is done by using a binary base other than base 2. Ex. Fibonacci, Phi or Prime. In addition, steganography may be used for creating alternate binary bases. This kind of encryption significantly increases the…
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Taxonomy
TopicsAlgorithms and Data Compression · Chaos-based Image/Signal Encryption · Cryptographic Implementations and Security
