Letter Frequency Analysis and Basic Cryptanalysis Concepts
Terms you will need
- letter frequencyLetter frequency is how often each letter appears in a language, like how 'E' is common in English.
- etaoinEtaoin is a phrase showing the most common letters in English, used to help break simple ciphers.
- digraphA digraph is a pair of letters that often appear together, like 'TH' in English.
- trigraphA trigraph is a group of three letters that often appear together, like 'THE' in English.
- pattern wordA pattern word is a word with a unique letter pattern that helps identify it in a cipher, like 'tater' with pattern ABACD.
- monoalphabetic substitutionA monoalphabetic substitution is a cipher where each letter is replaced by another letter consistently throughout the message.
How this topic runs
Letter frequency analysis is a method used in cryptanalysis to break substitution ciphers by examining the frequency of letters or groups of letters in a ciphertext. In any language, certain letters appear more often than others. For example, in English, the letters E, T, A, and O are the most common, while Z, Q, X, and J are rare. This consistent distribution helps cryptanalysts guess the original letters in a message. By counting how often each letter appears in the ciphertext and comparing it to the expected distribution in the plaintext language, it is possible to make educated guesses about which ciphertext letters correspond to which plaintext letters. This technique is especially effective against simple substitution ciphers, where each letter is consistently replaced by another. Understanding letter frequency analysis is essential for solving many types of ciphers and is a foundational concept in the field of cryptography.
Letter frequency analysis is a way to solve simple substitution ciphers by looking at how often letters appear in the encrypted message. In English, some letters like E and T show up more than others like Z or Q. This method works best when each letter in the original message is always replaced by the same letter in the cipher.
For example, if the letter X appears a lot in the ciphertext, it might represent E, T, or A in the original message. You test these guesses by looking at patterns and checking if they make sense in the context of the message. You can also look at pairs or groups of letters, like common two-letter combinations (bigrams) or three-letter groups (trigrams).
This gives more clues about the original message. For instance, the pair TH is very common in English, so if you see a lot of a certain two-letter combination in the ciphertext, it might be TH in the original message. To break a cipher, you start with the most frequent letters and test possible matches.
As you find more patterns, you can fill in more of the message. This process helps you slowly uncover the original text, especially if the cipher is simple and the message is long enough to show clear patterns.
Key Points
- Letter frequency is the study of how often letters or groups of letters appear in a written language, which is used in cryptanalysis to break classical ciphers.
- The nonsense phrase 'etaoin shrdlu' represents the 12 most frequent letters in typical English language text, based on letter frequency analysis.
- A digraph is a pair of letters that occur together frequently in a language, such as 'TH' or 'ER', and is used in frequency analysis to help break ciphers.
- A trigraph is a sequence of three letters that commonly appear together in a language, such as 'THE' or 'AND', and is used in cryptanalysis to identify patterns in ciphertext.
Terms
Tap a term for a plain-language explanation.
Sources & licensing(4)
- OpenStax — openstax.org/books/precalculus/pages/1-introduction-to-functions (Creative Commons Attribution 4.0)
- Wikipedia contributors — en.wikipedia.org/wiki/Frequency_analysis (Creative Commons Attribution-ShareAlike 4.0)
- Wikipedia contributors — en.wikipedia.org/wiki/Substitution_cipher (Creative Commons Attribution-ShareAlike 4.0)
- Wikipedia contributors — en.wikipedia.org/wiki/Caesar_cipher (Creative Commons Attribution-ShareAlike 4.0)