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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cryptography Fundamentals | 20% | - Basic terminology: plaintext, ciphertext, algorithm, key - Historical evolution and modern applications - Core goals: confidentiality, integrity, authentication, non-repudiation |
| Topic 2: Implementation & Best Practices | 5% | - Common mistakes and vulnerabilities - Selecting appropriate algorithms and key sizes - Standards and compliance |
| Topic 3: 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 |
| Topic 4: Symmetric Encryption | 25% | - Principles and operation - Algorithms: AES, DES, 3DES, Blowfish - Key generation, distribution, and management challenges - Block vs stream ciphers, modes of operation (ECB, CBC, OFB, CFB) |
| Topic 5: Asymmetric Encryption & Public Key Infrastructure | 25% | - Algorithms: RSA, ECC, Diffie-Hellman - Principles: public/private key pairs - Certificate lifecycle: creation, validation, revocation - Digital signatures: purpose and process - PKI components: certificates, CAs, trust models |
| Topic 6: Hash Functions & Data Integrity | 15% | - Algorithms: SHA-1, SHA-256, SHA-3, MD5 - Properties: collision resistance, one-way function - HMAC construction and application - Uses: integrity checks, password storage, message authentication |
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NEW QUESTION # 77
(Which attack maps hashed values to their original input data?)
Answer: D
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 , if the 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 at tack 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 th e question explicitly describes mapping hashed values back to original data via a precomputed approach, the correct choice is Rainbow table.
NEW QUESTION # 78
(What is used to randomize the initial value when generating Initialization Vectors (IVs)?)
Answer: C
Explanation:
An IV (Initialization Vector) is a value used to ensure that encrypting identical plaintext under the same key produces different ciphertexts, preventing pattern leakage. In many secure designs, the IV must be unique (and often unpredictable) per encryption operation. A common way to ensure uniqueness is to incorporate a nonce-a "number used once." A nonce can be random, pseudo-random, or a counter-based value depending on the mode and security requirements. For example, CTR mode uses a nonce combined with a counter to produce unique input blocks; GCM uses a nonce/IV to ensure unique authentication and encryption behavior. The encryption key should remain stable across many operations and should not be used as the "randomizer" for IV generation; mixing key material into IV creation in an ad hoc way can create reuse or correlation issues. Plaintext and algorithm do not provide the needed uniqueness property. The nonce concept is specifically about ensuring one-time uniqueness of the starting value so that IV reuse does not repeat keystream blocks (stream modes) or reveal plaintext equality (CBC/CTR). Therefore, the correct choice is Nonce.
NEW QUESTION # 79
(Which mode of encryption converts data into a stream encryption and then uses a counter value and a nonce to encrypt the data?)
Answer: A
Explanation:
CTR (Counter) mode converts a block cipher into a stream-like encryption method by generating a keystream from encrypted counter blocks. The core idea is to construct a sequence of input blocks using a nonce (unique per message/session) plus an incrementing counter. Each nonce||counter block is encrypted with the block cipher under the shared key; the output is a pseudorandom block that is XORed with plaintext to produce ciphertext. Decryption repeats the same keystream generation and XORs with ciphertext to recover plaintext.
CTR offers practical benefits: it is highly parallelizable, supports precomputation of keystream blocks, and allows random access to any block without needing previous blocks (unlike CBC). ECB and CBC are block modes that do not use nonce+counter keystream generation. CFB is a feedback mode that can behave stream- like, but it does not use the explicit counter/nonce construction characteristic of CTR. CTR's security hinges on never reusing the same nonce/counter sequence with the same key, because that would reuse the keystream and enable XOR-based plaintext recovery. Therefore, the correct mode is Counter (CTR).
NEW QUESTION # 80
(How are limits managed for the number of bitcoins that can be created and stored in a blockchain?)
Answer: C
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 # 81
(Which mechanism implemented in WPA-Enterprise guards against bit-flipping exploits?)
Answer: D
Explanation:
Bit-flipping exploits target encryption modes or protocols that do not provide strong integrity, allowing attackers to modify ciphertext so that predictable changes occur in plaintext after decryption. To defend against this, protocols add an integrity mechanism that detects tampering. In WPA (including enterprise deployments), TKIP introduced a Message Integrity Check (MIC) called "Michael." The MIC is computed over the frame contents (with additional fields) and verified by the receiver; if an attacker flips bits in transit, the MIC verification fails, and the frame is rejected. While AES (used by WPA2's CCMP) also provides integrity via authenticated encryption, the option presented that directly names the tamper-detection mechanism associated with guarding against bit-flipping is MIC. A pre- shared key is an authentication/keying method (and not enterprise-mode anyway), and a "global encryption key" would be the opposite of what you want-global/static keys worsen security.
Therefore, the intended mechanism that mitigates bit-flipping by detecting unauthorized modifications is the Message Integrity Check.
NEW QUESTION # 82
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