Buch, Englisch, Band 16410, 446 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 698 g
21st International Conference, Inscrypt 2025, Xi'an, China, October 19-22, 2025, Revised Selected Papers, Part III
Buch, Englisch, Band 16410, 446 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 698 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-956208-4
Verlag: Springer
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, during October 19-22, 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.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- 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.
