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Selected Areas in Cryptography – SAC 2024 31st International Conference, Montreal, QC, Canada, August 28–30, 2024, Revised Selected Papers, Part II /

This two-volume set LNCS 15516-15517 contains revised selected papers from the 31st International Conference on Selected Areas in Cryptography, SAC 2024, held in Montreal, QC, Canada, in August 2024. The 25 full papers presented in these proceedings were carefully reviewed and selected from 95 submi...

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Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Eichlseder, Maria (Doaimmaheaddji), Gambs, Sébastien (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Preanttus:1st ed. 2025.
Ráidu:Lecture Notes in Computer Science, 15517
Fáttát:
Data protection.
Computer networks .
Computer engineering.
Cryptography.
Data encryption (Computer science).
Data and Information Security.
Computer Communication Networks.
Computer Engineering and Networks.
Cryptology.
Security Services.
Liŋkkat:https://doi.org/10.1007/978-3-031-82841-6
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Sisdoallologahallan:
  • -- Authenticated Encryption.
  • Generic Security of the Ascon Mode: On the Power of Key Blinding.
  • Fast Parallelizable Misuse-Resistant Authenticated Encryption: Low Latency (Decryption-Fast) SIV.
  • Provably Secure Online Authenticated Encryption and Bidirectional Online Channels.
  • Symmetric Design Strategies.
  • Classical and Quantum Generic Attacks on 6-round Feistel Schemes.
  • Weightwise (almost) perfectly balanced functions based on total orders.
  • Generalized Triangular Dynamical System: An Algebraic System for Constructing Cryptographic Permutations over Finite Fields.
  • Cryptanalysis of Arithmetization-Oriented Primitives.
  • A Univariate Attack against the Limited-Data Instance of Ciminion.
  • Improved Algebraic Attacks on Round-Reduced LowMC with Single-Data Complexity.
  • Symmetric Primitive Design.
  • Minimize the Randomness in Rasta-Like Designs: How Far Can We Go? Application to PASTA.
  • Koala: A Low-Latency Pseudorandom Function.
  • Implementations and Side-Channel Analysis.
  • Modular Multiplication in the AMNS Representation: Hardware Implementation.
  • Train Wisely: Multifidelity Bayesian Optimization Hyperparameter Tuning in Deep Learning-based Side-Channel Analysis.

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