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EC-CouncilCertified Encryption Specialist

Domain 5Objective 1

Frequency Analysis and Differential Cryptanalysis ECES Practice Questions (Page 3)

Part of the Cryptanalysis domain, which makes up ~14% of our current practice bank. EC-Council does not publish an official question count, but from its 120-minute exam (~50–80 total, ~7–11 in this domain), expect 2–4 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here
6free pages
6concepts

Questions 11–15

  1. 11expert · hard

    A cryptanalyst is evaluating the security of a custom block cipher against differential cryptanalysis. The cipher has a 32-bit block size and uses a substitution-permutation network with 8 rounds. The analyst finds a differential characteristic with probability 2^-16. What is the most significant implication of this finding?

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  2. 12application · medium

    A security researcher is analyzing a new block cipher and wants to assess its resistance to differential cryptanalysis. The researcher constructs a differential characteristic with probability 1/4 for one round. What does this probability indicate about the cipher's resistance?

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  3. 13application · medium

    A cryptanalyst is studying a block cipher and wants to use differential cryptanalysis. The analyst chooses pairs of plaintexts with a fixed XOR difference and observes the corresponding ciphertext differences. What is the primary goal of this analysis?

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  4. 14foundation · easy

    A monoalphabetic substitution ciphertext contains the following frequency counts: 'X' appears 45 times, 'M' appears 30 times, 'Z' appears 25 times, and all other symbols appear fewer than 10 times. Based on English letter frequencies (E, T, A, O, I, N, S, H, R, D, L, U), which mapping is the most reasonable first guess?

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  5. 15application · medium

    A cryptanalyst is performing differential cryptanalysis on a block cipher with a 4-bit S-box. The analyst has a differential characteristic that predicts an output difference with probability 1/16. The analyst collects 1000 plaintext pairs and counts how often the predicted output difference appears for each candidate subkey. The counts are: candidate A: 70, candidate B: 55, candidate C: 80, candidate D: 45. Which candidate is most likely the correct subkey?

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