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| Section | Weight | Objectives |
|---|---|---|
| Symmetric Encryption | 25% | - Principles and operation - Key generation, distribution, and management challenges - Algorithms: AES, DES, 3DES, Blowfish - Block vs stream ciphers, modes of operation (ECB, CBC, OFB, CFB) |
| Implementation & Best Practices | 5% | - Standards and compliance - Common mistakes and vulnerabilities - Selecting appropriate algorithms and key sizes |
| Asymmetric Encryption & Public Key Infrastructure | 25% | - Algorithms: RSA, ECC, Diffie-Hellman - Principles: public/private key pairs - PKI components: certificates, CAs, trust models - Digital signatures: purpose and process - Certificate lifecycle: creation, validation, revocation |
| Cryptography Fundamentals | 20% | - Basic terminology: plaintext, ciphertext, algorithm, key - Historical evolution and modern applications - Core goals: confidentiality, integrity, authentication, non-repudiation |
| Key Management & Secure Protocols | 10% | - Key generation, storage, exchange, and destruction - Cryptographic attacks: brute force, birthday, man-in-the-middle - Secure protocols: TLS/SSL, IPsec, SSH, PGP |
| Hash Functions & Data Integrity | 15% | - Properties: collision resistance, one-way function - Uses: integrity checks, password storage, message authentication - HMAC construction and application - Algorithms: SHA-1, SHA-256, SHA-3, MD5 |
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NEW QUESTION # 59
(What describes a true random number generator?)
Answer: C
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 # 60
(What are the roles of keys when using digital signatures?)
Answer: C
Explanation:
Digital signatures provide integrity, authenticity, and typically non-repudiation by using an asymmetric key pair. The signer uses the private key to create a signature over a message (usually over a hash
/digest of the message). Because the private key is kept secret, only the legitimate signer should be able to produce a valid signature. Anyone who has the corresponding public key can then validate the signature: they verify that the signature matches the message digest under the public key and that the signed data has not been altered. This is why the public key can be widely distributed (often inside an X.
509 certificate) while the private key must be protected by the signer. If a public key were used to sign, anyone could forge signatures; if a private key were required for validation, only the signer could validate, defeating the purpose of public verifiability. Therefore, the correct key roles are private key for signing and public key for signature validation.
NEW QUESTION # 61
(Which attack maps hashed values to their original input data?)
Answer: B
Explanation:
A rainbow table attack uses large, precomputed tables that link hash outputs back to likely original inputs (typically passwords). Instead of storing every password#hash pair directly (which would be huge), rainbow tables store chains created by alternating hash operations with reduction functions, allowing attackers to reconstruct candidate plaintexts that produce a given hash. This makes cracking fast,ifthe target hashes are unsalted and use a known, fast hash function. Salt defeats rainbow tables because the attacker would need separate tables for each salt value, which becomes infeasible when salts are unique and sufficiently large. A dictionary attack is related but typically computes hashes on the fly from a wordlist rather than using precomputed chain structures. A birthday attack targets collisions, not mapping to original data. Brute-force tries all candidates without precomputation.
Because the question explicitly describes mapping hashed values back to original data via a precomputed approach, the correct choice is Rainbow table.
NEW QUESTION # 62
(What is a characteristic of Cipher Block Chaining (CBC) mode in cryptography?)
Answer: A
Explanation:
CBC mode introduces chaining between blocks to prevent the pattern leakage inherent in ECB. In CBC, each plaintext block is XORed with the previous ciphertext block before being encrypted with the block cipher. For the first block, CBC uses an Initialization Vector (IV) to serve as the "previous ciphertext" input. This makes encryption of each block dependent on the previous block's ciphertext, which is exactly the defining characteristic described in option A. CBC does not generate a continuous stream of key material-that describes stream ciphers or stream-like modes such as CTR/OFB. CBC also does not require a different key per operation; the same symmetric key is reused, while the IV must be fresh/unpredictable to ensure semantic security. The block size is determined by the underlying block cipher (e.g., AES is 128-bit blocks, DES/3DES are 64-bit blocks), not a fixed 32-bit size for CBC itself. Because CBC is not inherently authenticated, best practice is to pair it with a MAC (Encrypt-then-MAC) or use an AEAD mode instead.
NEW QUESTION # 63
(Which additional input element can be used to implement integrity in combination with symmetric ciphers?)
Answer: A
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 # 64
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