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| Section | Objectives |
|---|---|
| Asymmetric Cryptography | - Elliptic Curve Cryptography (ECC) - RSA Algorithm - Diffie-Hellman Key Exchange - Public Key Infrastructure (PKI) |
| Cryptography Fundamentals | - Cryptographic Terminology - History and Evolution of Cryptography - Symmetric vs Asymmetric Encryption |
| Applied Cryptography | - SSL/TLS Protocols - Cryptographic Best Practices - VPN Security - PGP and Email Encryption |
| Symmetric Cryptography | - Block Ciphers (AES, DES, 3DES) - Stream Ciphers - Key Management - Initialization Vectors (IV) |
| Cryptanalysis and Attacks | - Social Engineering Prevention - Brute Force and Dictionary Attacks - Common Attack Vectors |
| Hashing and Digital Signatures | - Digital Signature Standards - Hash Functions (MD5, SHA-1, SHA-256) - Message Authentication Codes (MAC) |
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NEW QUESTION # 13
(What is modular arithmetic in cryptography?)
Answer: B
Explanation:
Modular arithmetic is the mathematics of working with remainders after division by a fixed number called the modulus. In cryptography, it underpins many core constructions because it defines arithmetic in finite sets (rings and fields) where values "wrap around," enabling stable, repeatable operations with bounded results.
Public-key systems like RSA rely on modular exponentiation (raising integers to powers modulo a composite number), while Diffie-Hellman and many elliptic-curve schemes operate in groups defined by modular arithmetic properties. Encryption and key exchange use modular operations because they allow efficient computation forward (e.g., exponentiation modulo a large number) while making certain inverse problems computationally hard without secret information (e.g., factoring or discrete logarithms). Modular reduction also helps keep intermediate values manageable and supports group properties needed for proofs of security.
Although modular arithmetic is not "encryption by itself," it is a foundational method used inside encryption algorithms and protocols. Therefore, among the options, describing it as a method used for encryption via modular operations best matches cryptographic usage.
NEW QUESTION # 14
(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 # 15
(Which type of exploit involves looking for different inputs that generate the same hash?)
Answer: A
Explanation:
A birthday attack targets hash functions by exploiting the birthday paradox: collisions (two different inputs producing the same hash output) can be found much faster than brute-forcing a specific preimage. For an n-bit hash, the expected work to findanycollision is on the order of 2
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