Algorithms and Architectures for Parallel Processing

.- Service Dependability and Security in Distributed and Parallel Systems.
.- M2C: A Blockchain-Based Certificate Batching Architecture for Software-Defined Networks.
.- PacketMorph: Generation of Recoverable Adversarial Packets against Encrypted Traffic Classification via Class-wise Universal Perturbation.
.- DecFLLM: A Privacy-Preserving Fine-Tuning Framework for Federated Large Language Models via Adapter Decomposition.
.- Reinforcement Learning-Based Autonomous Collision Avoidance for Ships in Realistic Physical Environments.
.- IDSF: A Cross-Domain Data Trustworthy Sharing Framework for Large-Scale IIoT with Integrated DID and Enhanced PBFT Algorithm.
.- Are Relay Chains Practically Deployable? Trusted Behavior Dynamics via Evolutionary Games.
.- Multi-Task Learning for HDD Failure Prediction in Heterogeneous Storage Systems.
.- A Dual Personalized Clustering-Based Defense Against Composite Poisoning Attacks in Federated Learning.
.- Index-Free Searchable Symmetric Encryption for Full-Text Substring Search.
.- A Weakly Centralized Hierarchical Sensitive Data Sharing Scheme Based on Edge Computing.
.- A Lightweight E-Health Data Access Control Scheme in Fog Computing.
.- Hawk: Saturation Attack Detection Based on Structured Spatial Interactions and Temporal Dependencies-Guided Graph Learning in SDN.
.- RoboClarify: Clarifying Ambiguous Instructions Through Scenario-Guided Risk Assessment for Home Embodied Agents.
.- Pistis: Enabling Secure Interoperability Across Unobservable Permissioned Blockchains.
.- HBCA: Healthcare-Oriented Blockchain-Assisted Cross-Domain Authentication.
.- HeRF-AD: Robust Anomaly Detection for Software Systems via Heterogeneous Representation Fusion.
.- Defending Backdoor Attacks in Visual Pre-Trained Models with Group L1/2 Regularization and Knowledge Distillation.
.- LIME-Enhanced Insider Threat Detection for Distributed Security Systems.
.- Graph Representation Learning via Generative-Contrastive Fusion for Advanced Persistent Threat Detection.
.- zkGCN: Zero-Knowledge Based Verifiable Inference for Graph Convolutional Networks.
.- A GAN-Integrated Framework for Fileless Attack Provenance.
.- EPOMTA: Efficient and Privacy-preserving online Multi-Task Allocation in Mobile Crowdsourcing.
.- Multiscale Deep Neural Network Intrusion Detection Model Based on Denoising Feature Selection with EQLv2.
.- TriDA: Triangular Fuzzy Double Auction for Efficient and Accurate Task-Worker Matching in Blockchain-Based Crowdsourcing.
.- An Anonymous, Certificateless, and Multi-Receiver Aggregate Signcryption Scheme without Secure Channel in VANETs.
.- Network Architectures and Algorithms.
.- Ditto: A Flexible Transmission Control Mechanism for Diverse User Demands and Network Conditions.
.- Decentralized Multi-UAV Trajectory Optimization for Cooperation in Wireless Charging Networks.
.- Mitigating Hash Polarization with Flow-Level Load Balancing in Leaf-Spine Data Center Network.
.- QoS-Aware Hybrid Routing for LEO Satellite Networks: Dynamic Path Allocation and Partitioning-Based Optimization.
.- Hybrid Swarm Intelligence-Based Path Planning for Mobile Nodes in DTN over Complex Terrains.
.- 6RLD: A Seedless Region Active IPv6 Address Dynamic Detection Method Based on Large Language Model and RAG Technology.
.- DFNets: An Indoor Localization Model Based on Fresnel Clustering Fusion.

• Erscheinungsdatum: 09.04.2026
• Autor/Autorin: Huazhong Liu
• Reihe: Lecture Notes in Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 67.6 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 625 Seiten
• ISBN: 9789819584086
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.