KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
Produktbild: Information Security and Cryptology
Band 16409 - 11%

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

Aus der Reihe Lecture Notes in Computer Science
11% sparen

69,99 € UVP 79,17 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2026

Abbildungen

XV, 488 p. 141 illus., 122 illus. in color.

Herausgeber

Rongmao Chen + weitere

Verlag

Springer Singapore

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9562-02-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2026

Abbildungen

XV, 488 p. 141 illus., 122 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9562-02-2

Herstelleradresse

Springer-Verlag GmbH
Europaplatz 3
69115 Heidelberg
DE

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Information Security and Cryptology

  • .- 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.