Linear Cryptanalysis & Approximation Tables
Build linear approximation tables and recover key bits statistically.
Linear Cryptanalysis & Approximation Tables is a free Cryptology Academy lesson on CoddyKit. This is lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Cryptology Academy learning path, and your progress syncs across the web and the CoddyKit app. The Cryptology Academy course includes 4 lessons in total.
What Is Linear Cryptanalysis?
Linear cryptanalysis (Matsui, 1993) is a known-plaintext attack that finds linear approximations (XOR of specific bits) of a cipher that hold with probability p ≠ 1/2. Using many plaintext-ciphertext pairs, statistical bias reveals key bits.
Linear Approximation
A linear approximation for an S-box: sum of selected input bits XOR sum of selected output bits = 0 (mod 2) with probability p. Expressed as: P[a·x XOR b·y = 0] = 1/2 + ε, where a,b are bit masks and ε is the bias (|ε| >> 0 is desirable).
Linear Approximation Table (LAT)
The LAT counts: for each input mask a and output mask b, the number of inputs x where (a·x) XOR (b·S(x)) = 0. Subtract 2^{n-1} to get the bias. A good S-box has |max_bias| = 1 (probability 1/2 ± 1/2^{n/2}) — as flat as possible.
Piling-Up Lemma
For independent linear approximations through multiple rounds, biases multiply: ε_total = 2^{r-1} * ε_1 * ε_2 * ... * ε_r. Each round approximation halves the effective bias. After many rounds, total bias approaches 0, requiring exponentially more pairs to detect.
Attack Methodology
To attack r-round cipher: find linear trail ε through r-1 rounds. Collect N = 1/ε^2 known plaintexts. For each candidate last-round key byte k': XOR-decrypt last round partially, check if the linear approximation holds more than N/2 times. Correct k' shows correct bias.
Matsui's Attack on DES
Matsui attacked 16-round DES in 1993 using a 14-round linear approximation with bias 2^{-21.4}. Required 2^{43} known plaintexts. Recovered 26 key bits in phase 1; remaining 30 by exhaustive search. First practical attack faster than brute force on full DES.
AES Resistance
AES S-box has maximum LAT entry |ε| = 4/256 = 1/64 per S-box. The Wide Trail Strategy bounds the number of active S-boxes in any 4-round trail to ≥ 25. Total bias ≤ (1/64)^{25/2} ≈ 2^{-75}. Requires 2^{150} known plaintexts — infeasible.
Linear vs Differential
Differential: known/chosen plaintext pairs; exploits output differences. Linear: known plaintexts; exploits statistical linear approximations. Both are chosen-plaintext for practical attacks. Both are design criteria: S-boxes must resist both (low DDT max AND low LAT max).
Multiple Linear Cryptanalysis
Use multiple linear approximations simultaneously to reduce data complexity. Nyberg and Leander extended Matsui's method: combining M approximations reduces data by factor log(M). Applied to PRESENT, SIMON, and other lightweight ciphers.
Correlation Attacks on Stream Ciphers
Linear approximation applied to stream ciphers: find correlation between the keystream and a linear function of LFSR output. This correlation (if non-zero) enables faster-than-exhaustive key recovery. Inspired design of nonlinear combining functions in stream ciphers.
Integral/Square Attacks
Integral cryptanalysis (Knudsen-Wagner): choose a set of plaintexts where certain bytes take all 256 values while others are fixed. After several rounds, XOR of all outputs in certain positions is 0 (balanced). Exploits AES's structure; breaks reduced-round AES efficiently.
Quick Check
What does the piling-up lemma state about combining linear approximations?
Recap
Linear cryptanalysis finds biased linear approximations of S-boxes. AES resists via its LAT-optimal S-box and Wide Trail. Matsui broke DES with 2^43 known plaintexts using a 14-round trail. Next: birthday attacks and collision finding.
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Frequently Asked Questions
Is the “Linear Cryptanalysis & Approximation Tables” lesson free?
Yes — the full text of “Linear Cryptanalysis & Approximation Tables” is free to read here on the web. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Cryptology Academy course, upgrade to CoddyKit PRO. The Cryptology Academy course includes 4 lessons in total.
What will I learn in “Linear Cryptanalysis & Approximation Tables”?
Build linear approximation tables and recover key bits statistically. You practise Cryptology Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Cryptology Academy?
No prior experience is required. Cryptology Academy on CoddyKit is structured for beginners through advanced learners, so you can start here or from the beginning and move at your own pace. This is lesson 2 of 4.
How long does the “Linear Cryptanalysis & Approximation Tables” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Cryptology Academy lesson?
Yes. Every Cryptology Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Differential Cryptanalysis Fundamentals
- Linear Cryptanalysis & Approximation Tables
- Birthday & Collision Attacks
- Meet-in-the-Middle & Time-Memory Trade-offs