Security, Privacy, and Applied Cryptography Engineering

13th International Conference, SPACE 2023, Roorkee, India, December 14–17, 2023, Proceedings

AvFrancesco Regazzoni,Bodhisatwa Mazumdar

Häftad, Engelska, 2024

Del 14412 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-01-05
Mått:155 x 235 x 15 mm
Vikt:417 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:261
Upplaga:24001
Förlag:Springer International Publishing AG
ISBN:9783031515828

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Systemvetenskap och AI inom Data och IT
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Innehållsförteckning

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.