from typing import Optional
def decrypt_caesar_with_chi_squared(
ciphertext: str,
cipher_alphabet: Optional[list[str]] = None,
frequencies_dict: Optional[dict[str, float]] = None,
case_sensetive: bool = False,
) -> tuple[int, float, str]:
"""
Basic Usage
===========
Arguments:
* ciphertext (str): the text to decode (encoded with the caesar cipher)
Optional Arguments:
* cipher_alphabet (list): the alphabet used for the cipher (each letter is
a string separated by commas)
* frequencies_dict (dict): a dictionary of word frequencies where keys are
the letters and values are a percentage representation of the frequency as
a decimal/float
* case_sensetive (bool): a boolean value: True if the case matters during
decryption, False if it doesn't
Returns:
* A tuple in the form of:
(
most_likely_cipher,
most_likely_cipher_chi_squared_value,
decoded_most_likely_cipher
)
where...
- most_likely_cipher is an integer representing the shift of the smallest
chi-squared statistic (most likely key)
- most_likely_cipher_chi_squared_value is a float representing the
chi-squared statistic of the most likely shift
- decoded_most_likely_cipher is a string with the decoded cipher
(decoded by the most_likely_cipher key)
The Chi-squared test
====================
The caesar cipher
-----------------
The caesar cipher is a very insecure encryption algorithm, however it has
been used since Julius Caesar. The cipher is a simple substitution cipher
where each character in the plain text is replaced by a character in the
alphabet a certain number of characters after the original character. The
number of characters away is called the shift or key. For example:
Plain text: hello
Key: 1
Cipher text: ifmmp
(each letter in hello has been shifted one to the right in the eng. alphabet)
As you can imagine, this doesn't provide lots of security. In fact
decrypting ciphertext by brute-force is extremely easy even by hand. However
one way to do that is the chi-squared test.
The chi-squared test
-------------------
Each letter in the english alphabet has a frequency, or the amount of times
it shows up compared to other letters (usually expressed as a decimal
representing the percentage likelihood). The most common letter in the
english language is "e" with a frequency of 0.11162 or 11.162%. The test is
completed in the following fashion.
1. The ciphertext is decoded in a brute force way (every combination of the
26 possible combinations)
2. For every combination, for each letter in the combination, the average
amount of times the letter should appear the message is calculated by
multiplying the total number of characters by the frequency of the letter
For example:
In a message of 100 characters, e should appear around 11.162 times.
3. Then, to calculate the margin of error (the amount of times the letter
SHOULD appear with the amount of times the letter DOES appear), we use
the chi-squared test. The following formula is used:
Let:
- n be the number of times the letter actually appears
- p be the predicted value of the number of times the letter should
appear (see #2)
- let v be the chi-squared test result (referred to here as chi-squared
value/statistic)
(n - p)^2
--------- = v
p
4. Each chi squared value for each letter is then added up to the total.
The total is the chi-squared statistic for that encryption key.
5. The encryption key with the lowest chi-squared value is the most likely
to be the decoded answer.
Further Reading
================
* http://practicalcryptography.com/cryptanalysis/text-characterisation/chi-squared-
statistic/
* https://en.wikipedia.org/wiki/Letter_frequency
* https://en.wikipedia.org/wiki/Chi-squared_test
* https://en.m.wikipedia.org/wiki/Caesar_cipher
Doctests
========
>>> decrypt_caesar_with_chi_squared(
... 'dof pz aol jhlzhy jpwoly zv wvwbshy? pa pz avv lhzf av jyhjr!'
... ) # doctest: +NORMALIZE_WHITESPACE
(7, 3129.228005747531,
'why is the caesar cipher so popular? it is too easy to crack!')
>>> decrypt_caesar_with_chi_squared('crybd cdbsxq')
(10, 233.35343938980898, 'short string')
>>> decrypt_caesar_with_chi_squared(12)
Traceback (most recent call last):
AttributeError: 'int' object has no attribute 'lower'
"""
alphabet_letters = cipher_alphabet or [chr(i) for i in range(97, 123)]
if not frequencies_dict:
frequencies = {
"a": 0.08497,
"b": 0.01492,
"c": 0.02202,
"d": 0.04253,
"e": 0.11162,
"f": 0.02228,
"g": 0.02015,
"h": 0.06094,
"i": 0.07546,
"j": 0.00153,
"k": 0.01292,
"l": 0.04025,
"m": 0.02406,
"n": 0.06749,
"o": 0.07507,
"p": 0.01929,
"q": 0.00095,
"r": 0.07587,
"s": 0.06327,
"t": 0.09356,
"u": 0.02758,
"v": 0.00978,
"w": 0.02560,
"x": 0.00150,
"y": 0.01994,
"z": 0.00077,
}
else:
frequencies = frequencies_dict
if not case_sensetive:
ciphertext = ciphertext.lower()
chi_squared_statistic_values: dict[int, tuple[float, str]] = {}
for shift in range(len(alphabet_letters)):
decrypted_with_shift = ""
for letter in ciphertext:
try:
new_key = (alphabet_letters.index(letter) - shift) % len(
alphabet_letters
)
decrypted_with_shift += alphabet_letters[new_key]
except ValueError:
decrypted_with_shift += letter
chi_squared_statistic = 0.0
for letter in decrypted_with_shift:
if case_sensetive:
if letter in frequencies:
occurrences = decrypted_with_shift.count(letter)
expected = frequencies[letter] * occurrences
chi_letter_value = ((occurrences - expected) ** 2) / expected
chi_squared_statistic += chi_letter_value
else:
if letter.lower() in frequencies:
occurrences = decrypted_with_shift.count(letter)
expected = frequencies[letter] * occurrences
chi_letter_value = ((occurrences - expected) ** 2) / expected
chi_squared_statistic += chi_letter_value
chi_squared_statistic_values[shift] = (
chi_squared_statistic,
decrypted_with_shift,
)
most_likely_cipher: int = min(
chi_squared_statistic_values,
key=chi_squared_statistic_values.get,
)
(
most_likely_cipher_chi_squared_value,
decoded_most_likely_cipher,
) = chi_squared_statistic_values[most_likely_cipher]
return (
most_likely_cipher,
most_likely_cipher_chi_squared_value,
decoded_most_likely_cipher,
)