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Information Security and Cryptology: 21st International Conference, Inscrypt 2025, Xi'an, China, October 19-22, 2025, Revised Selected Papers, Part III [Pehme köide]

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  • Formaat: Paperback / softback, 446 pages, kõrgus x laius: 235x155 mm, 101 Illustrations, color; 14 Illustrations, black and white
  • Sari: Lecture Notes in Computer Science
  • Ilmumisaeg: 03-Jan-2026
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819562082
  • ISBN-13: 9789819562084
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Information Security and Cryptology: 21st International Conference, Inscrypt 2025, Xi'an, China, October 19-22, 2025, Revised Selected Papers, Part IIISuurem pilt
  • Formaat: Paperback / softback, 446 pages, kõrgus x laius: 235x155 mm, 101 Illustrations, color; 14 Illustrations, black and white
  • Sari: Lecture Notes in Computer Science
  • Ilmumisaeg: 03-Jan-2026
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819562082
  • ISBN-13: 9789819562084
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Märksõnad:
The three-volume set constitutes revised selected papers of the 21st International Conference on Information Security and Cryptology, Inscrypt 2025, held in Xi'an, China, on October 19, 2025.



The 79 full papers presented in these proceedings were carefully reviewed and selected from 315 submissions. The papers were organized in the following topical sections:   Part I :  Post-Quantum Cryptography; Functional Encryption;  Cryptanalysis and Implementations I; Cryptanalysis and Implementations II.   Part II : Secure Multi-party Computation; Anomaly Detection Methodologies & Models;  Network Security & Traffic Analysis.   Part III : Privacy Preserving/Enhancing Technologies;  AI and Security I; AI and Security II.
.- Privacy Preserving/Enhancing Technologies.
.- Homomorphic MaxPooling via Bootstrapping for Privacy-Preserving Neural
Networks.
.-  PrivGGM: Private Data Synthesis Using Multivariate Gaussian Generative
Models and Fuzzy Rough Sets.
.-  A Framework for Efficient Enhanced Privacy ID from Group Actions.
.- Publicly Verifiable Private Information Retrieval Protocols Based
on Function Secret Sharing.
.-  FH-TEE: Single Enclave for all Applications.
.- Comparing and Improving Perturbation Mechanisms under Local Differential
Privacy.
.- Anonymous Attribute-based Multi-keyword Searchable Encryption scheme for
Medical Data Sharing using Blockchain.
.-  Invisible Data Capsule: Bridging On-Chain and Off-Chain Data
Collaboration.
.-  AI and Security I.
.-  DNNKeyLock: Securing Deep Neural Network Intellectual Property with
Steganography and Token Authentication.
.-  HBS Algorithmic Database Construction: A Chain-of-Thought-Driven
Approach.
.- EGNNFingers: Explainability-Driven Fingerprinting Framework for GNN
Ownership Verification.
.- Vertical Federated Convolutional Framework Based on Function
Secret Sharing.
.- Transferable Dormant Backdoor : Covertly Embedding Transferable Backdoor
via Knowledge Distillation in Pre-trained Models.
.-  Detecting Stealthy Backdoor Attacks in Federated Learning via Wavelet
Analysis on Dynamic Dimensions.
.- Backdoor Attacks for Geographic Information Science with
Principal Component Analysis and Singular Value Decomposition.
.-  AI and Security II.
.- SeqFuzz : Efficient Kernel Directed Fuzzing via Effective
Component Inference.
.-  LLM-DAS: An LLM-Powered Deobfuscation System for ARM Binary Code.
.- Dynamic Generation Method of SELinux Policy Based on Knowledge Graph.
.-  CANalyze-AI: Semantic Zero-Day Detection and Rule Synthesis via
LoRA-Fine-Tuned LLM for CAN Security.
.-  FuzzyHawk: Unveiling Ransomware Behavior Patterns via Graph-Based Fuzzy
Matching.
.-  SC-HNM:Filtering False Negatives for Network Service Embeddings.
.-  Min-Entropy Estimation for Physical Layer Key Generation: An Empirical
Study.
.-  Dual Modal Featuring Scheme for Learning Based Android Malware Prevention.