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| Section | Objectives |
|---|---|
| Topic 1: Symmetric Encryption | - AES and legacy algorithms (e.g., DES conceptually) - Block and stream ciphers |
| Topic 2: Foundations of Cryptography | - Core concepts of confidentiality, integrity, authentication, non-repudiation - Historical and modern cryptography principles |
| Topic 3: Hash Functions and Message Authentication | - Cryptographic hash functions (e.g., SHA family concepts) - MAC and HMAC mechanisms |
| Topic 4: Cryptographic Protocols and Applications | - TLS/SSL conceptual overview - Secure communication design principles |
| Topic 5: Asymmetric Encryption | - RSA and ECC fundamentals - Public key cryptography principles |
| Topic 6: Key Management and PKI | - Certificates, certificate authorities, and PKI structure - Key exchange and lifecycle management |
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NEW QUESTION # 64
(What is the correlation between the number of rounds and the key length used in the AES algorithm?)
Answer: B
Explanation:
In AES, the number of rounds is explicitly tied to the key length. AES-128 uses 10 rounds, AES-192 uses 12 rounds, and AES-256 uses 14 rounds. The purpose of additional rounds is to increase diffusion and confusion, strengthening resistance against cryptanalysis as the key schedule and state transformations iterate more times. Although key length primarily affects brute-force resistance, AES's designers and standardization parameters link longer keys with more rounds to maintain security margins across variants, especially considering differences in the key schedule structure. Thus, as key length increases from 128 to 192 to 256 bits, the number of rounds increases correspondingly from 10 to 12 to 14. This relationship is fixed by the AES specification and does not vary dynamically at runtime. Therefore, the correct correlation is that the number of rounds increases as the key length increases.
NEW QUESTION # 65
(How are limits managed for the number of bitcoins that can be created and stored in a blockchain?)
Answer: A
Explanation:
Bitcoin's supply is controlled by protocol rules enforced by consensus: new bitcoins enter circulation through the block subsidy awarded to miners for producing valid blocks. This subsidy is programmed to halve at fixed intervals (every 210,000 blocks), which steadily reduces the rate of new coin creation over time and asymptotically approaches a capped total supply (commonly cited as 21 million BTC).
This mechanism is often called the halving schedule and is the primary way limits are managed. The number of participants is not fixed; anyone can run a node or mine. There is no per-country cap and no per-person maximum enforced by the protocol-addresses and ownership are not limited that way. The supply cap emerges from the decreasing issuance schedule combined with consensus validation rules that reject blocks creating coins beyond what the schedule allows. Therefore, the correct answer is that limits are managed because rewards for mining reduce over time.
NEW QUESTION # 66
(Which cryptographic technique is used to ensure data integrity?)
Answer: A
Explanation:
Data integrity means ensuring that information has not been modified without authorization. Digital signatures are a core cryptographic technique that provides integrity by binding a message (typically its hash) to the signer's private key. The signer creates a signature over the message digest; the verifier checks it with the signer's public key and recomputes the digest. Any change to the message alters the digest and causes verification to fail, revealing tampering. Digital signatures also support authenticity (verifying the signer) and can contribute to nonrepudiation under proper key-management and policy controls, but integrity is a primary guarantee they deliver. "Authentication" is broader and can be achieved by other means, but it is not as directly tied to integrity as signatures in this option set. "Non-repudiation" is an outcome/goal rather than a standalone integrity technique. "Steganography" hides the existence of data and does not inherently protect integrity. Therefore, among these options, digital signatures are the best cryptographic technique for ensuring data integrity.
NEW QUESTION # 67
(Which additional input element can be used to implement integrity in combination with symmetric ciphers?)
Answer: B
Explanation:
Symmetric encryption alone typically provides confidentiality, but it does not automatically provide integrity. Many encryption modes (especially older ones like CBC without authentication) are malleable, meaning an attacker may be able to modify ciphertext and cause predictable changes in plaintext after decryption. To add integrity, systems commonly combine symmetric encryption with a cryptographic hash-based integrity mechanism, such as a hash function used in an HMAC (Hash-based Message Authentication Code) or a dedicated authenticated-encryption mode like GCM that internally uses authentication tags. Among the given options, a hash function is the fundamental additional element that enables integrity checks: it allows construction of a MAC (e.g., HMAC-SHA-256) that the receiver verifies to detect any tampering. An initialization vector and a nonce value are used to ensure uniqueness and randomness properties for encryption but do not, by themselves, guarantee integrity.
An encoding algorithm changes representation, not security. Therefore, the correct additional input element for implementing integrity alongside symmetric encryption is a hash function, typically as part of an HMAC or similar MAC construction.
NEW QUESTION # 68
(What describes a true random number generator?)
Answer: A
Explanation:
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.
NEW QUESTION # 69
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