Information Security and Cryptology
21st International Conference, Inscrypt 2025, Xi'an, China, October 19-22, 2025, Revised Selected Papers, Part II
Paperback Engels 2026 9789819562022Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
.- 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.
Rubrieken
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