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| Section | Objectives |
|---|---|
| Symmetric Cryptography | - Stream Ciphers - Block Ciphers (AES, DES, 3DES) - Initialization Vectors (IV) - Key Management |
| Cryptanalysis and Attacks | - Brute Force and Dictionary Attacks - Social Engineering Prevention - Common Attack Vectors |
| Applied Cryptography | - PGP and Email Encryption - Cryptographic Best Practices - VPN Security - SSL/TLS Protocols |
| Cryptography Fundamentals | - History and Evolution of Cryptography - Cryptographic Terminology - Symmetric vs Asymmetric Encryption |
| Asymmetric Cryptography | - RSA Algorithm - Elliptic Curve Cryptography (ECC) - Diffie-Hellman Key Exchange - Public Key Infrastructure (PKI) |
| Hashing and Digital Signatures | - Message Authentication Codes (MAC) - Digital Signature Standards - Hash Functions (MD5, SHA-1, SHA-256) |
>> Introduction-to-Cryptography対応内容 <<
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質問 # 22
(How can auditing enhance an organization ' s cryptographic practices?)
正解：D
解説：
Auditing improves cryptographic practice by systematically evaluating whether cryptographic controls are correctly selected, implemented, configured, and maintained. Through audits, an organization can discover weak algorithms (e.g., deprecated hashes), improper key lengths, unsafe modes (e.g., unauthenticated CBC), missing integrity controls, poor certificate validation, and operational problems such as key reuse, weak randomness sources, inadequate rotation, or overly permissive access to key material. Audits also assess compliance with internal policy and external standards, ensuring crypto is used consistently across systems and that exceptions are documented and risk-managed. Importantly, auditing does not guarantee that incidents will never happen; it reduces risk by finding gaps before attackers do. It also does not eliminate the need for updates-audits often reveal that policies must evolve as threats and best practices change. Employee training can be recommended as an outcome of auditing, but audits do not automatically ensure training. Thus, the most accurate benefit is that auditing identifies weaknesses and drives corrective action, strengthening cryptographic posture over time.
質問 # 23
(Which certificate encoding process is binary-based?)
正解：B
解説：
DER (Distinguished Encoding Rules) is a binary encoding format used to represent ASN.1 structures in a canonical, unambiguous way. X.509 certificates are defined using ASN.1, and DER provides a strict subset of BER (Basic Encoding Rules) that guarantees a single, unique encoding for any given data structure. That
"unique encoding" property is important for cryptographic operations such as hashing and digital signatures, because different encodings of the same abstract data could otherwise produce different hashes and break signature verification. In contrast, PEM is not a binary encoding; it is essentially a Base64-encoded text wrapper around DER data, bounded by header/footer lines (e.g., "BEGIN CERTIFICATE"). PKI is an overall framework for certificate issuance, trust, and lifecycle management-not an encoding. RSA is an asymmetric algorithm used for encryption/signing, not a certificate encoding format. Therefore, the binary-based certificate encoding process among the options is DER.
質問 # 24
(What describes a true random number generator?)
正解：D
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 # 25
(Which of the following best describes lightweight cryptography?)
正解：B
解説：
Lightweight cryptography refers to cryptographic primitives and profiles engineered for environments where computational resources are constrained-limited CPU, memory, power, bandwidth, and code size-while still requiring robust security. Typical targets include IoT sensors, embedded controllers, smart cards, RFID, wearables, and many mobile or edge deployments. The design goals emphasize efficiency (low energy consumption, small silicon area for hardware, small firmware footprint) and practical performance under constraints, often while providing modern security properties like authenticated encryption (confidentiality + integrity) and secure hashing. Lightweight cryptography is not simply "stronger encryption"; it balances security with implementability in constrained systems. It is also not restricted to military settings and is not inherently outdated-many lightweight designs are modern and motivated by the rapid growth of IoT and pervasive computing. Because constrained devices are common entry points for attackers, having secure primitives that fit those devices is a critical part of contemporary security architecture. Therefore, the best description is cryptographic algorithms designed for resource-constrained environments.
質問 # 26
(What is a component of a one-time password (OTP) that is needed to guess future iterations of passwords?)
正解：D
解説：
OTP systems (such as HOTP and TOTP) generate a sequence of passwords using a shared secret and a moving factor (counter or time). The critical secret that underpins the ability to compute past or future OTP values is the seed (also called the shared secret key). In HOTP, the seed is used with an HMAC function and an incrementing counter; in TOTP, the seed is used with HMAC and a time-step value. If an attacker obtains the seed and knows the algorithm and moving factor, they can compute future OTPs. The "function" and
"encryption algorithm" are typically standardized and public; security relies on keeping the seed secret. An initialization vector is not a standard OTP component in HOTP/TOTP generation. Therefore, the component needed to predict future OTP values is the seed. Protecting the seed is essential: it should be stored securely (e.
g., hardware token secure storage) and transmitted only through controlled provisioning processes. If compromised, OTP becomes predictable and no longer serves as a strong second factor.
質問 # 27
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P.S.Pass4TestがGoogle Driveで共有している無料の2026 WGU Introduction-to-Cryptographyダンプ：https://drive.google.com/open?id=1OLtu7VQCyVSalXVESbr52fUy2d2ngrpo