Buch, Englisch, 655 Seiten, Format (B × H): 155 mm x 235 mm
21st International Conference, ISPEC 2026, Xi'an, China, November 6–8, 2026, Proceedings
Buch, Englisch, 655 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9275-30-4
Verlag: Springer
This book constitutes the refereed proceedings of the 21st International Conference on Information Security Practice and Experience, ISPEC 2026, held in Xi'an, China, during November 6–8, 2026.
The 35 full papers included in these proceedings were carefully reviewed and selected from 101 submissions. They were organized in the following topical sections: Cryptographic Protocols; Cryptographic Primitive; Cryptographic Foundation; Cryptanalysis; AI Security; Federated Learning; Cybersecurity and Intrusion Detection ; Malware Analysis and Software Security.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Informatik
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- Cryptographic Protocols.
.- Private Set Intersection Cardinality Protocol in Unbalanced Settings.
.- ImpTensorPIR: Single-Server PIR with Lower Communication Cost.
.- Efficient and Expressive Bilateral Access Control for Secure Data Sharing.
.- Multi-Receiver Public-Key Matchmaking Encryption for Efficient One-to-Many Data Sharing.
.- An Updatable Unbalanced Private Set Intersection Cardinality Protocol Based on Secret-Shared Reverse Private Membership Testing.
.- HySSE-RAG: Unified Hybrid Searchable Encryption for Privacy Preserving RAG.
.- Proactive One-Round Privacy-Preserving Cohort Discovery and Indexed Transaction Analytics.
.- TNT-ACT: Threshold Anonymous Credit Tokens with Non-transferability.
.- Cryptographic Primitive.
.- DuplexGQA: Stable Recoverability and Capacity-Aware Resource Frontiers for Complex-Packed Encrypted Attention.
.- Registration-based Signature: Definitions and Constructions.
.- THEMIS: Leakage-Bounded Biometric Decision with CKKS Homomorphic Encryption.
.- Cryptographic Foundation.
.- FPGA-based parallel architecture for solving ECC2-131.
.- Improved SAT-based Syndrome Decoding in CNF Encoding.
.- Rational-Function Transformation-Based S-Boxes over F2ˆ8 with Full-Cycle Structure and Desirable Diffusion Indicators.
.- Cryptanalysis.
.- Cross-Chain Message Provenance Under Attack: The KelpDAO Forgery and a Census of LayerZero V2 Trust Configurations.
.- New TMDTO Attacks on ACORNv3 and Grain-128.
.- A Generalized Wiener-type Attack Against a Family RSA-like Cryptosystems.
.- A New Hybrid Attack Integrating Dual Lattice Reduction and Meet-LWE for Ternary LWE Keys.
.- AI Security.
.- LLM-Trace: Single-Path Semantic Attribution on Application-Layer Provenance Graphs for Zero-Trust Tier-2/3 Compliance Auditing.
.- I-GCG-Enhanced Indirect Prompt Injection Against LLM Web Agents via HTML Accessibility Tree.
.- RHGB: A Cross-Domain Evaluation for Deep Learning, Federated Privacy-Preserving Deployment and the Integration of Dark Web Signals in Anti-Money Laundering Detection.
.- Federated Learning.
.- DualGuard-AutoDP: Dual-Channel Privacy Preservation for non-IID Federated Learning in Autonomous Driving VLMs.
.- SVBAggFed: Secure and Verifiable Buffered Asynchronous Aggregation for Federated Learning.
.- CIFL: Byzantine Attacks and Robustness in Federated Learning with Class-Isolated Clients.
.- ASTRA: Auction-based Shapley Trust-aware Resource Allocation for Robust Client Selection in Federated Learning.
.- FedDP-FCM: Differentially Private Federated Fuzzy C-Means Clustering.
.- Cybersecurity and Intrusion Detection.
.- ITC-IDS: Identifier-Conditioned Temporal Context Learning with Lightweight TCN for Fine-Grained CAN Intrusion Detection.
.- Explaining Access Control Through Causal Reasoning.
.- GONS: Self-Calibrated Open-Set Rejection for Few-Shot Class Incremental Intrusion Detection.
.- A Dynamic Bayesian Network Model for Supply Chain Ransomware Prevention under Interdependent Structures.
.- Malware Analysis and Software Security.
.- Do Recovered Names Help? Evaluating Binary Function-Name Recovery for Vulnerability Triage.
.- VDB: A Unified Framework for Vulnerability Detection Datasets with Model Context Protocol Integration.
.- ProvLogic: Provenance-Grounded Reasoning for Traceable Detection of Smart Contract Logic Vulnerabilities.
.- Beyond Traditional Sandboxes: Malware Analysis in Realistic Environments.
.- SwinAI: Swin Attention Integration for Malware Detection and Classification of Windows PE Binaries Using Multi-Modal Feature Fusion.
