english_bigram_counts[bigram] = int(count)
normalised_english_bigram_counts = norms.normalise(english_bigram_counts)
+english_trigram_counts = collections.defaultdict(int)
+with open('count_3l.txt', 'r') as f:
+ for line in f:
+ (trigram, count) = line.split("\t")
+ english_trigram_counts[trigram] = int(count)
+normalised_english_trigram_counts = norms.normalise(english_trigram_counts)
+
+
with open('words.txt', 'r') as f:
keywords = [line.rstrip() for line in f]
def transpositions_of(keyword):
- """
+ """Finds the transpostions given by a keyword. For instance, the keyword
+ 'clever' rearranges to 'celrv', so the first column (0) stays first, the
+ second column (1) moves to third, the third column (2) moves to second,
+ and so on.
+
>>> transpositions_of('clever')
[0, 2, 1, 4, 3]
"""
transpositions = [key.index(l) for l in sorted(key)]
return transpositions
-def column_transposition_encipher(message, keyword):
- """
+def column_transposition_encipher(message, keyword, fillvalue=' '):
+ """Enciphers using the column transposition cipher.
+ Message is padded to allow all rows to be the same length.
+
>>> column_transposition_encipher('hellothere', 'clever')
'hleolteher'
+ >>> column_transposition_encipher('hellothere', 'cleverly', fillvalue='!')
+ 'hleolthre!e!'
"""
- return column_transposition_worker(message, keyword, encipher=True)
+ return column_transposition_worker(message, keyword, encipher=True,
+ fillvalue=fillvalue)
+
+def column_transposition_decipher(message, keyword, fillvalue=' '):
+ """Deciphers using the column transposition cipher.
+ Message is padded to allow all rows to be the same length.
-def column_transposition_decipher(message, keyword):
- """
>>> column_transposition_decipher('hleolteher', 'clever')
'hellothere'
+ >>> column_transposition_decipher('hleolthre!e!', 'cleverly', fillvalue='?')
+ 'hellothere!!'
"""
- return column_transposition_worker(message, keyword, encipher=False)
+ return column_transposition_worker(message, keyword, encipher=False,
+ fillvalue=fillvalue)
+
+def column_transposition_worker(message, keyword,
+ encipher=True, fillvalue=' '):
+ """Does the actual work of the column transposition cipher.
+ Message is padded with spaces to allow all rows to be the same length.
-def column_transposition_worker(message, keyword, encipher=True):
- """
>>> column_transposition_worker('hellothere', 'clever')
'hleolteher'
>>> column_transposition_worker('hellothere', 'clever', encipher=True)
'hellothere'
"""
transpositions = transpositions_of(keyword)
- columns = every_nth(message, len(transpositions), fillvalue=' ')
+ columns = every_nth(message, len(transpositions), fillvalue=fillvalue)
if encipher:
transposed_columns = transpose(columns, transpositions)
else:
sanitise(scytale_decipher(message, best_key))[:50]))
return best_key, best_fit
+def column_transposition_break(message,
+ wordlist=keywords,
+ metric=norms.euclidean_distance,
+ #test_ngram_length=2,
+ target_counts=normalised_english_bigram_counts,
+ message_frequency_scaling=norms.normalise):
+ """Breaks a column transposition cipher using a dictionary and
+ n-gram frequency analysis
+
+ >>> column_transposition_break(column_transposition_encipher(sanitise( \
+ "Turing's homosexuality resulted in a criminal prosecution in 1952, \
+ when homosexual acts were still illegal in the United Kingdom. "), \
+ 'encipher'), \
+ wordlist=['encipher', 'keyword', 'fourteen']) # doctest: +ELLIPSIS
+ ('encipher', 0.898128626285...)
+ >>> column_transposition_break(column_transposition_encipher(sanitise( \
+ "Turing's homosexuality resulted in a criminal prosecution in 1952, " \
+ "when homosexual acts were still illegal in the United Kingdom."), \
+ 'encipher'), \
+ wordlist=['encipher', 'keyword', 'fourteen'], \
+ target_counts=normalised_english_trigram_counts) # doctest: +ELLIPSIS
+ ('encipher', 1.1958792913127...)
+ """
+ best_keyword = ''
+ best_fit = float("inf")
+ ngram_length = len(next(iter(target_counts.keys())))
+ for keyword in wordlist:
+ if len(message) % len(deduplicate(keyword)) == 0:
+ plaintext = column_transposition_decipher(message, keyword)
+ counts = message_frequency_scaling(frequencies(
+ ngrams(sanitise(plaintext), ngram_length)))
+ fit = metric(target_counts, counts)
+ logger.debug('Column transposition break attempt using key {0} '
+ 'gives fit of {1} and decrypt starting: {2}'.format(
+ keyword, fit,
+ sanitise(plaintext)[:50]))
+ if fit < best_fit:
+ best_fit = fit
+ best_keyword = keyword
+ logger.info('Column transposition break best fit with key {0} gives fit '
+ 'of {1} and decrypt starting: {2}'.format(best_keyword,
+ best_fit, sanitise(
+ column_transposition_decipher(message,
+ best_keyword))[:50]))
+ return best_keyword, best_fit
+
+
if __name__ == "__main__":
import doctest