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- The major computational constraint for cryptographic algorithms in resource-constrained devices is:
a. large memory footprint
b. high power consumption
c. heavy CPU cycles
d. complex key exchange protocols
Answer: c. heavy CPU cycles — cryptography is computationally intensive and may strain processing in constrained environments (SentinelOne) - A limitation of post-quantum cryptography is:
a. smaller key sizes
b. lower computational complexity
c. integration challenges
d. no threat from quantum attacks
Answer: c. integration challenges — PQC often requires difficult integration into existing systems (Encryption Consulting) - In cryptographic systems, a key management issue arises because:
a. keys never need rotation
b. keys are trivial to store
c. distributing keys securely is hard
d. symmetric keys are always public
Answer: c. distributing keys securely is hard — key management is a classic constraint in cryptosystems (GeeksforGeeks) - Which of the following is a constraint when migrating to quantum-safe cryptography?
a. reduced algorithm diversity
b. minimal industry standardization
c. negligible hardware compatibility issues
d. unlimited performance headroom
Answer: b. minimal industry standardization — many PQC schemes are still undergoing standardization (arXiv) - The “harvest now, decrypt later” threat pertains to:
a. active intrusion attacks
b. storing encrypted traffic now to decrypt later when quantum advances allow
c. immediate decryption by adversaries
d. breaking symmetric ciphers directly
Answer: b. storing encrypted traffic now to decrypt later when quantum advances allow — that is the harvest-now attack model in quantum threat discussions (arXiv) - A cryptographic hardness assumption is needed because:
a. problems are always easy to invert
b. we cannot prove unconditional security for useful problems
c. we prefer insecure systems
d. users don’t need security
Answer: b. we cannot prove unconditional security for useful problems — thus cryptography relies on computational hardness assumptions (Wikipedia) - The Logjam vulnerability exploited weakness in:
a. RSA encryption
b. block ciphers
c. Diffie-Hellman key exchange with weak primes
d. hash functions
Answer: c. Diffie-Hellman key exchange with weak primes — Logjam targets DH with reused weak primes (Wikipedia) - In constrained IoT devices, cryptography is limited by:
a. unlimited energy
b. unlimited memory
c. low processing power
d. no networking constraints
Answer: c. low processing power — IoT devices often lack CPU capacity for heavy cryptography (Encryption Consulting) - A trade-off in cryptographic design is between:
a. security vs. usability
b. encryption vs. decryption
c. key size vs. algorithm name
d. ciphertext vs. plaintext colors
Answer: a. security vs. usability — stronger cryptography often reduces usability or performance (GeeksforGeeks) - One of the constraints when implementing PQC is:
a. shorter signature lengths
b. less memory usage
c. greater bandwidth or message expansion
d. trivial backward compatibility
Answer: c. greater bandwidth or message expansion — many PQC schemes cause ciphertext/signature size inflation (arXiv) - Cryptographic agility refers to:
a. ability to switch between crypto algorithms flexibly
b. using only one algorithm forever
c. ignoring crypto updates
d. no support for new schemes
Answer: a. ability to switch between crypto algorithms flexibly — to adapt to evolving threats and replace weak schemes (arXiv) - Why is scalability a constraint in PQC deployment?
a. PQC always scales perfectly
b. as number of users grows, performance and key distribution overhead increases
c. cryptographic operations vanish
d. no additional hardware needed
Answer: b. as number of users grows, performance and key distribution overhead increases — PQC may struggle under scale (Encryption Consulting) - Which of these is a constraint due to legacy infrastructure?
a. everything is fully quantum-ready
b. old hardware may not support new algorithms
c. mandatory PQC from day one
d. no backward compatibility issues
Answer: b. old hardware may not support new algorithms — legacy systems often cannot handle new cryptographic demands (Encryption Consulting) - The computational complexity in cryptography must be balanced against:
a. zero cost
b. infinite response time
c. acceptable latency
d. no throughput
Answer: c. acceptable latency — cryptographic operations must not degrade system performance too much (SentinelOne) - One of the constraints when using elliptic curve cryptography in future is:
a. invulnerability to quantum
b. ECC is fully quantum-safe
c. Shor’s algorithm can break ECC on a quantum computer
d. ECC uses no keys
Answer: c. Shor’s algorithm can break ECC on a quantum computer — ECC is vulnerable under sufficiently powerful quantum attacks (Wikipedia) - Which constraint affects user adoption of cryptographic APIs?
a. complete simplicity
b. poor usability of crypto libraries
c. no error handling needed
d. zero learning curve
Answer: b. poor usability of crypto libraries — developers often struggle with cryptography APIs usability (arXiv) - Regarding PQC, which is a practical constraint?
a. trivial memory overhead
b. negligible implementation risk
c. uncertain performance under real workloads
d. no required interoperability
Answer: c. uncertain performance under real workloads — PQC is often tested in lab settings and may face real-world performance issues (Encryption Consulting) - In symmetric cryptography, to maintain performance, one might constrain:
a. using extremely large block sizes always
b. choosing minimal rounds (but weaker)
c. no key schedule
d. infinite entropy
Answer: b. choosing minimal rounds (but weaker) — fewer rounds trade weaker security for better performance - A constraint in hardware (like TPM or HSM) for cryptography is:
a. unlimited silicon area
b. no power or area constraints
c. limited silicon resources and power budget
d. no need for security
Answer: c. limited silicon resources and power budget — hardware modules have constraints in area, power, etc - Which of the following is a limitation of quantum key distribution (QKD) in practice?
a. no distance limitations
b. requires trusted repeaters for long distances
c. unlimited throughput
d. trivial to integrate everywhere
Answer: b. requires trusted repeaters for long distances — QKD has distance and infrastructure constraints (HEQA Security) - A constraint when implementing secure multiparty computations (MPC) is:
a. zero communication cost
b. high communication and computational overhead
c. no synchronization needed
d. perfect scalability always
Answer: b. high communication and computational overhead — MPC protocols often incur heavy cost - For key exchange in constrained networks, one must limit:
a. number of messages exchanged
b. reducing cryptographic strength always
c. ignoring security
d. free bandwidth
Answer: a. number of messages exchanged — in latency or bandwidth-limited networks, minimize handshake overhead - When designing a crypto system, constraint of backward compatibility means:
a. new scheme need not talk to old one
b. you can disregard old protocols
c. ability to interoperate with older algorithms/systems
d. only new systems allowed
Answer: c. ability to interoperate with older algorithms/systems — backward compatibility is often required - Which of these is a real constraint in digital signature schemes in PQC?
a. extremely short signature sizes always
b. very large signature sizes for some PQC schemes
c. zero computational cost
d. signature never required
Answer: b. very large signature sizes for some PQC schemes — e.g. lattice or code-based signatures may inflate size - In cryptographic protocol design, a constraint is dealing with:
a. perfect random number generators always
b. weak or faulty entropy sources
c. no need for randomness
d. unlimited entropy
Answer: b. weak or faulty entropy sources — generating high-quality randomness is often a constraint - A constraint in side-channel resistance is:
a. perfect resistance comes with no cost
b. side-channel countermeasures increase area, power, and latency
c. side channels don’t exist
d. always trivial to mitigate
Answer: b. side-channel countermeasures increase area, power, and latency — implementing countermeasures has cost - The constraint of key size inflation in PQC leads to:
a. smaller memory usage
b. less bandwidth usage
c. more storage and transmission overhead
d. no change from classical crypto
Answer: c. more storage and transmission overhead — PQC often inflates key/ciphertext sizes - Cryptographic constraint known as ciphertext expansion means:
a. ciphertext becomes shorter than plaintext
b. ciphertext is always same size
c. ciphertext grows beyond plaintext length
d. plaintext is encrypted into empty string
Answer: c. ciphertext grows beyond plaintext length — some schemes produce expansion - The computational constraint of latency is relevant because:
a. every encryption must take infinite time
b. some systems require real-time performance
c. latency doesn’t matter
d. encryption is instantaneous always
Answer: b. some systems require real-time performance — cryptographic delay cannot exceed system limits - A cryptographic constraint in mobile devices is:
a. unlimited battery life
b. heavy cryptography drains battery
c. cryptography generates energy
d. no constraints from mobile hardware
Answer: b. heavy cryptography drains battery — energy is constrained on mobile - In deploying crypto in networks, throughput constraint means:
a. unlimited data per second
b. encryption must not bottleneck link throughput
c. throughput is irrelevant
d. throughput always infinite
Answer: b. encryption must not bottleneck link throughput — crypto must handle data volume - When deploying PQC, a constraint is algorithm diversity vs interoperability:
a. many algorithms but fragmented systems
b. only one algorithm is acceptable always
c. diversity doesn’t matter
d. interoperability never required
Answer: a. many algorithms but fragmented systems — too many PQC choices can fragment interoperability - A constraint of cryptographic protocols is denial-of-service amplification in handshake:
a. handshake always cheap
b. handshake may be exploited to force costly crypto on targets
c. no risk of DoS
d. handshake cannot be abused
Answer: b. handshake may be exploited to force costly crypto on targets — e.g. expensive operations can be DoS vector - In constrained environments, one might limit:
a. cryptographic strength always
b. key rotation frequency to reduce overhead
c. no key rotation needed
d. unlimited key rotation
Answer: b. key rotation frequency to reduce overhead — frequent rotation imposes cost - The constraint of memory footprint in crypto means:
a. unlimited memory usage
b. crypto libraries use small memory to run on embedded systems
c. memory is irrelevant
d. always trivial memory usage
Answer: b. crypto libraries use small memory to run on embedded systems — memory is limited - A constraint in secure boot / firmware integrity is:
a. unlimited storage for hashes / keys
b. minimal code size for cryptographic check
c. no verification needed
d. perfect hardware support always
Answer: b. minimal code size for cryptographic check — firmware environments often have tight size limits - One constraint when combining encryption and compression is:
a. always compress after encryption
b. encryption may foil compression, so order matters
c. no interactions
d. encryption always improves compression
Answer: b. encryption may foil compression, so order matters — requires design tradeoffs - The constraint of revocation management is:
a. revocation is trivial
b. managing certificate/key revocation scales poorly
c. revocation never needed
d. revocation costs zero
Answer: b. managing certificate/key revocation scales poorly — revocation is a known challenge - Which is a cryptographic constraint in blockchain and crypto systems?
a. zero transaction overhead
b. cryptographic operations contribute to latency and resource usage
c. no resource use
d. blockchain never uses crypto
Answer: b. cryptographic operations contribute to latency and resource usage — block validation, signatures, etc incur cost - A constraint in threshold cryptography is:
a. no communication among parties
b. high coordination and communication overhead
c. trivial to implement
d. zero error handling
Answer: b. high coordination and communication overhead — threshold schemes require messaging among parties - In cloud cryptography, a constraint is:
a. always local control
b. trusting cloud provider with crypto operations may leak keys
c. unlimited trust always safe
d. no constraint on trust models
Answer: b. trusting cloud provider with crypto operations may leak keys — trust boundaries impose constraints - The constraint of algorithm validation and certification is:
a. never required
b. cryptographic modules often need certification (e.g. FIPS) which slows adoption
c. certification is instantaneous
d. no standards needed
Answer: b. cryptographic modules often need certification (e.g. FIPS) which slows adoption — certification is a barrier - In hybrid classical + quantum systems, a constraint is:
a. no protocol complexity
b. combining schemes introduces compatibility and complexity overhead
c. always trivial to combine
d. no need for coexistence
Answer: b. combining schemes introduces compatibility and complexity overhead — hybrid schemes increase complexity - A cryptographic constraint relating to key escrow is:
a. all keys are public
b. escrow imposes risks and trust issues
c. escrow is always safe
d. no concern about trust
Answer: b. escrow imposes risks and trust issues — key escrow has security/trust tradeoffs - The constraint of rollback or downgrade attacks means:
a. system allows ignoring versioning
b. protocol must resist forced downgrade to weak algorithms
c. no need for version control
d. downgrade always disallowed automatically
Answer: b. protocol must resist forced downgrade to weak algorithms — avoiding downgrade attacks is a design constraint - A constraint in homomorphic encryption is:
a. no performance cost
b. heavy computation and large ciphertext size
c. trivial to use on all data
d. no constraints at all
Answer: b. heavy computation and large ciphertext size — fully homomorphic schemes are resource intensive - The constraint of key compromise impersonation (KCI) attack resilience means:
a. no adversary can exploit key compromise to impersonate others
b. no need to consider KCI
c. KCI is trivial always
d. KCI only in symmetric crypto
Answer: a. no adversary can exploit key compromise to impersonate others — protocol must be resilient to KCI threats - A constraint of quantum attacks is:
a. no effect on symmetric keys
b. symmetric keys require doubling size to maintain quantum resistance
c. symmetric keys become useless
d. symmetric keys vanish
Answer: b. symmetric keys require doubling size to maintain quantum resistance — e.g. Grover’s algorithm halves security bit strength - One constraint in migrating large systems to new cryptography is:
a. migration is instantaneous and costless
b. extensive testing, rollout, fallback paths are required
c. no transition risk
d. no need for planning
Answer: b. extensive testing, rollout, fallback paths are required — migration must be cautious and staged - A constraint in cross-domain cryptographic interoperability is:
a. all domains use same crypto always
b. differences in algorithm support, parameter sets, and protocols impede interoperability
c. interoperability always guaranteed
d. no heterogeneity
Answer: b. differences in algorithm support, parameter sets, and protocols impede interoperability — cross-domain crypto must handle heterogeneity
