Ordinary techniques of text compression provide some degree of
privacy for messages being stored or transmitted. First, by recoding
messages compression protects them from the casual observer.
Second, by removing redundancy it denies a cryptanalyst the
leverage of the normal statistical regularities in natural language.
Third and most important, the best text compression systems use
adaptive modeling so that they can take advantage of the
characteristics of the text being transmitted. The model acts
as a very large key, without which decryption is impossible.
Adaptive modeling means that the key depends on the entire text
which has been transmitted so far since the time the
encoder/decoder system was initialized.
This paper introduces the modern approach to text compression and
describes a highly effective adaptive method, with particular
emphasis on its potential for protecting messages from
eavesdroppers. The technique is potentially fast and provides
both encryption and data compression.
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