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| Section | Objectives |
|---|---|
| Cryptography Fundamentals | - Cryptographic Terminology - History and Evolution of Cryptography - Symmetric vs Asymmetric Encryption |
| Symmetric Cryptography | - Stream Ciphers - Block Ciphers (AES, DES, 3DES) - Key Management - Initialization Vectors (IV) |
| Cryptanalysis and Attacks | - Brute Force and Dictionary Attacks - Common Attack Vectors - Social Engineering Prevention |
| Asymmetric Cryptography | - Public Key Infrastructure (PKI) - Diffie-Hellman Key Exchange - Elliptic Curve Cryptography (ECC) - RSA Algorithm |
| Applied Cryptography | - Cryptographic Best Practices - SSL/TLS Protocols - VPN Security - PGP and Email Encryption |
| Hashing and Digital Signatures | - Digital Signature Standards - Hash Functions (MD5, SHA-1, SHA-256) - Message Authentication Codes (MAC) |
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NEW QUESTION # 33
(Which number generator has different results given the same input data?)
Answer: B
Explanation:
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.
NEW QUESTION # 34
(Which certificate encoding process is binary-based?)
Answer: D
Explanation:
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.
NEW QUESTION # 35
(A Linux user password is identified as follows:
$2a$08$AbCh0RCM8p8FGaYvRLI0H.Kng54gcnWCOQYIhas708UEZRQQjGBh4
Which hash algorithm should be used to salt this password?)
Answer: D
Explanation:
The string format $2a$08$... is a well-known identifier for the bcrypt password hashing scheme. In common password-hash notation, the prefix indicates the algorithm and parameters: "$2a$" denotes bcrypt (version 2a), and "08" indicates the cost factor (work factor) controlling how computationally expensive hashing is. bcrypt is designed specifically for password storage: it includes a built-in salt and is intentionally slow and adaptive, making brute-force and GPU attacks far more expensive than fast general-purpose hashes like MD5 or SHA-512. NTLM and MD5 are obsolete for secure password storage due to speed and known weaknesses. SHA-512, while cryptographically strong as a hash, is still too fast for password hashing unless used in a dedicated password-hashing construction (e.g., PBKDF2, scrypt, Argon2) with appropriate parameters and salts. Since the given hash clearly matches bcrypt's encoding, the correct algorithm is bcrypt, which incorporates salting and cost-based key stretching as part of its design.
NEW QUESTION # 36
(What describes a true random number generator?)
Answer: B
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 # 37
(An organization wants to digitally sign its software to guarantee the integrity of its source code. Which key should the customer use to decrypt the digest of the source code?)
Answer: A
Explanation:
When software is digitally signed, the organization computes a cryptographic hash (digest) of the software (or its manifest) and then signs that digest using the organization's private key. Verification works in the opposite direction: the customer (verifier) uses the organization's public key to validate the signature and recover/confirm the signed digest, then independently hashes the received software and compares the result. If the digests match and the signature validates under the public key, the customer has strong assurance that the software has not been altered since it was signed and that it was signed by the holder of the corresponding private key. The customer never needs the organization's private key-sharing it would destroy security and enable forgery. Likewise, the customer's own keys are irrelevant to verifying the publisher's signature. The organization's public key is typically delivered inside a certificate chain (code signing certificate) so the verifier can also validate publisher identity and trust. Therefore, the customer uses the organization's public key for signature verification (often described as "decrypting" the signed digest).
NEW QUESTION # 38
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