Security, Privacy, and Applied Cryptography Engineering de Francesco Regazzoni

Security, Privacy, and Applied Cryptography Engineering: Lecture Notes in Computer Science, cartea 14412

Francesco Regazzoni

Bodhisatwa Mazumdar

Sri Parameswaran

This book constitutes the refereed proceedings of the 13th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2023, held in Roorkee, India, in December 2023.
The 14 papers included in these proceedings were carefully reviewed and selected from 45 submissions. They focus on various aspects of security, privacy, applied cryptography, and cryptographic engineering.

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Specificații

ISBN-13: 9783031515828
ISBN-10: 303151582X
Pagini: 272
Ilustrații: X, 261 p. 36 illus., 25 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.42 kg
Ediția:1st edition 2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Results on the Key Space of Group-Ring NTRU: The Case of the Dihedral Group.- Gangopadhyay Token Open Secure and Post-quantum Updatable Encryption Based on MLWE.- Knowledge Proofs for SIDH variants with Masked Degree or Torsion.- Post-Quantum DNSSEC over UDP via QNAME-Based Fragmentation.- Cryptanalysis of Short and Provable Secure Lattice-Based Signature Scheme.- Cryptanalysis with Countermeasure on the SIS Based Signature Scheme.- Vulnerability of Dynamic Masking in Test Compression.- An Efficient Generic Insider Secure Signcryption with Non-Interactive Non-Repudiation.- High-Order Collision Attack Vulnerabilities in Montgomery Ladder Implementations of RSA.- On the Masking-Friendly Designs for Post-Quantum Cryptography.- Spliced Region Detection and Localization in Digital Images based on CNN Learning Guided by Color Transitions and Surface Texture.- UN-SPLIT: Attacking Split Manufacturing using Link Prediction in Graph Neural Networks.- Logarithmic-Size (Linkable) Ring Signatures From Lattice Isomorphism Problems.- ”We must protect the Transformers”: Understanding Efficacy of Backdoor Attack Mitigation on Transformer Models.