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Information Security and Cryptology

21st International Conference, Inscrypt 2025, Xi'an, China, October 19-22, 2025, Revised Selected Papers, Part II

Paperback Engels 2026 9789819562022
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Samenvatting

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.

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Inhoudsopgave

.- Secure Multi-party Computation.
.- Quantum-Computation Classical-Communication Commitments from SZK-Hardness.
.-  Concretely Efficient Constructions for Differentially Private Set Intersection.
.-  MSFS: Maliciously Secure 3-Party Feature Selection via Mutual Information.
.- Adaptive Batched K-out-of-N Oblivious Transfers Extension.
.-  Programming Equation Systems of Arithmetization-Oriented Primitives with Constraints.
.- Anomaly Detection Methodologies & Models.
.-  Anomaly Detection for ADS-B Data Based on KAN-LSTM.
.- Network Intrusion Detection Method Based on Multi-Scale Feature Clustering and Improved Honey Badger Algorithm.
.-  SAGE: Spatiotemporal Feature Fusion for Anomaly Detection in Multivariate Time Series.
.-  MoE-CNN with Dynamic Feature Selection and CSAM for Network Anomaly Detection.
.-  PP-MTAD: Privacy-Preserving and Efficient Multivariate Time Series Anomaly Detection.
.-  LogWhisperer: Multi-Log Semantic Similarity Analysis based Intelligent Vehicle Anomaly Detection without Log Template.
.-  An Early Detection of Risky Crowd Dynamics Scheme Based on Motion Entropy and Scene Semantics.
.-  Enhancing Explainability in X-IDS through Counterfactuals.
.-  What Interferes with the Accurate Detection of Origin Hijacking Anomalies?.
.-  Network Security & Traffic Analysis.
.-  Verifiable and Privacy-Preserving Deep Packet Inspection for Multiple Rule Service Providers.
.- Towards Adaptive Network Defense: A Self-Evolving Threat Detection Framework.
.-  Early Detection of Malicious Traffic based on Graph Modeling and Spatio-Temporal Attention Approach.
.- Revealing the Frailty of Static Benchmarks: The DyNA-IDS Framework for Concept Drift Adaptation in Time-Series Network Intrusion Detection.
.-  iSSH: Enabling In-Flight SSH Traffic Inspection without Key Escrow.
.-  Tracing Your Roots: Exploring the Security Issues of Root Certificates in Android TLS Connections.
.- Exploring the Root Store Usage in TLS-based Applications.
.-  LSDBFT: A Loose DAG-based Asynchronous BFT Consensus Algorithm with Fair Ordering.
.-  FRanCS: A Fair and Randomized Anonymous Network Circuit Selection Mechanism with Blockchain.
.- Robust Training of Efficient Traffic Classifier with Noisy Labels.
.-  A Multimodal Asynchronous Federated Learning Approach for Encrypted Traffic Classification.

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