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| Section | Objectives |
|---|---|
| Topic 1: Applied Cryptography | - PGP and Email Encryption - SSL/TLS Protocols - Cryptographic Best Practices - VPN Security |
| Topic 2: Asymmetric Cryptography | - Elliptic Curve Cryptography (ECC) - Diffie-Hellman Key Exchange - RSA Algorithm - Public Key Infrastructure (PKI) |
| Topic 3: Cryptography Fundamentals | - Symmetric vs Asymmetric Encryption - Cryptographic Terminology - History and Evolution of Cryptography |
| Topic 4: Cryptanalysis and Attacks | - Brute Force and Dictionary Attacks - Common Attack Vectors - Social Engineering Prevention |
| Topic 5: Symmetric Cryptography | - Block Ciphers (AES, DES, 3DES) - Initialization Vectors (IV) - Stream Ciphers - Key Management |
| Topic 6: Hashing and Digital Signatures | - Hash Functions (MD5, SHA-1, SHA-256) - Message Authentication Codes (MAC) - Digital Signature Standards |
>> Introduction-to-Cryptography関連復習問題集 <<
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質問 # 65
(Which type of encryption is Advanced Encryption Standard (AES) considered to be?)
正解：D
解説：
AES is a symmetric-key block cipher, meaning the same shared secret key is used for both encryption and decryption. It operates on fixed-size 128-bit blocks and supports key sizes of 128, 192, and 256 bits. Being symmetric, AES is efficient and well-suited for encrypting large volumes of data-files, disk encryption, VPN payloads, and bulk traffic in protocols like TLS once a session key is established. AES is not "hybrid" by itself; hybrid encryption refers to combining asymmetric cryptography (for key exchange or key wrapping) with symmetric cryptography (for bulk data encryption), and AES often plays the symmetric part of that hybrid design. It is not "quantum encryption," which is a separate, loosely used term sometimes referring to quantum key distribution or quantum-resistant algorithms. AES is also not asymmetric; it does not use public
/private key pairs. Therefore, AES is correctly classified as symmetric encryption, matching option D.
質問 # 66
(Which number generator has different results given the same input data?)
正解：B
解説：
A true random number generator (TRNG) produces outputs derived from nondeterministic physical processes (e.g., thermal noise, oscillator jitter, radioactive decay, or other hardware entropy sources). Because the underlying phenomenon is not algorithmically determined by an input seed in the same way as a PRNG, repeated "inputs" (or identical conditions from a software perspective) do not yield the same sequence; the outputs vary unpredictably. By contrast, a pseudorandom number generator (PRNG) is deterministic: given the same seed and internal state, it produces the same output sequence, which is useful for repeatability but means security depends on seed secrecy and proper seeding. "Prime" is not a generator type, and "sequence" is too generic and does not imply nondeterminism. In cryptographic systems, TRNGs (or hardware entropy sources) are often used to seed cryptographically secure PRNGs (CSPRNGs), combining high-quality entropy with efficient generation. Therefore, the generator that can produce different results for the "same input data" is a true random number generator.
質問 # 67
(Employee A needs to send Employee B a symmetric key for confidential communication. Which key is used to encrypt the symmetric key?)
正解：B
解説：
When securely distributing a symmetric key over an untrusted network, a common approach is hybrid cryptography: use asymmetric cryptography to protect the symmetric key, then use the symmetric key for bulk encryption. To ensure only Employee B can recover the symmetric key, Employee A encrypts (wraps) that symmetric key using Employee B's public key. Because only Employee B should possess the matching private key, only B can decrypt the wrapped symmetric key. This is the same principle used in TLS key exchange (in older RSA key transport) and in secure email: encrypt the session key to the recipient's public key. Encrypting the symmetric key with Employee A's private key would not provide confidentiality-anyone with A's public key could reverse it, and it functions more like a signature than encryption. Employee B's private key should never be shared and is used only by B to decrypt. Therefore, for confidentiality of the shared symmetric key, the correct encryption key is Employee B's public key.
質問 # 68
(What is an attribute of RC4 when used with WEP?)
正解：B
解説：
In classic WEP deployments, RC4 was used with what is commonly called "40-bit WEP" (also labeled
"64-bit WEP" because it combines a 40-bit secret key with a 24-bit IV to form a 64-bit RC4 seed). The key attribute emphasized in many foundational descriptions of WEP is this 40-bit shared secret length, which was originally chosen due to export restrictions and legacy constraints. Although "104-bit WEP" (sometimes called "128-bit WEP," again counting the 24-bit IV) also existed, the option set here points to the historically standard and widely referenced attribute: a 40-bit key when RC4 is used in WEP.
Importantly, WEP's security failure is not only about key size; the 24-bit IV is too small and repeats frequently, and WEP's key scheduling vulnerabilities combined with IV reuse allow attackers to recover the secret key with enough captured frames. Still, among the given options, the correct attribute is the 40-bit key.
質問 # 69
(What describes a true random number generator?)
正解：B
解説：
A true random number generator (TRNG) draws randomness from physical phenomena that are inherently unpredictable and not algorithmically reproducible. Because of this, it is nondeterministic:
you cannot feed it the same "input" and expect the same output stream. TRNGs are often slower than PRNGs because they depend on collecting entropy from hardware sources and may require conditioning to remove bias. This aligns with option B: slow and nondeterministic, producing different results even under similar or repeated conditions. Option A describes a deterministic PRNG, where identical seeds yield identical sequences. Option C is unrelated; factorization is a hard math problem used in cryptography (e.g., RSA security assumptions), not a randomness generator definition. Option D describes a counter, which is deterministic and not random. In secure systems, TRNG output may seed a cryptographically secure PRNG to provide both unpredictability and high throughput; but the defining characteristic of a TRNG is nondeterminism from physical entropy. Therefore, option B is correct.
質問 # 70
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