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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part VI /

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The 12-volume set CCIS 2564-2575, together with the 28-volume set LNCS/LNAI/LNBI 15842-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 523 papers presented in these proceedings b...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Huang, De-Shuang (Editor), Chen, Wei (Editor), Pan, Yijie (Editor), Chen, Haiming (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:Communications in Computer and Information Science, 2569
Subjects:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Online Access:https://doi.org/10.1007/978-981-96-9958-2
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Table of Contents:
  • -- Information Security.
  • Unresponsive IoT Devices: Breaking the Discovery in the Matter Protocol.
  • Epileptic Detection Method for EEG Data Based on Model Pruning Federated Learning.
  • PP-SSFL: A PUF-Paillier Dual-Factor Encryption Secret Sharing Federated Learning Frameworks for IoT.
  • Hierarchical Knowledge Distillation for Federated Backdoor Defense.
  • Towards Saturation Attack Detection in SDN: A Device Hyperedge Graph and Flow-Device Hypergraph Neural Network-based Method.
  • DynaFlow Logic Transformer: A Neuro-Symbolic Approach to Industrial Control System Intrusion Detection.
  • T-TBCLPA: A Secure Cross-Shard Consensus Mechanism for UAVs Based on Task State Network Sharding.
  • Cross-domain Semantic Fusion Framework for Network Intrusion Detection.
  • LCA-PRCA: Lowest Common Ancestor Embedding for Provenance-Based Intrusion Detection.
  • PreFilter: Enhancing the Efficiency of Binary Code Similarity Detection by Efficient Prefiltration.
  • Anomaly Detection in Encrypted Videos Using Knowledge Distillation.
  • Reliable Multi-Bit Watermark for Large Language Models via Robust Encoding and Green-Zone Refinement.
  • CGTdroid: Enhancing Android App Risk Assessment Through Cross Attention Network.
  • Leveraging Multiple Metrics to Improve Difficulty Calibration in Membership Inference Attacks.
  • FedFTL-R: Feature-Interactive Federated Transfer Learning from a Reinforcement Learning Perspective.
  • FRVA: Content-aware Video Frame Redundancy Elimination for Bandwidth-limited Edge Video Analytics.
  • A Large Language Models-Powered Framework for Smart Contract Repair.
  • Federated Multi-Instance Multi-Label Learning Based on Label Richness and Balance.
  • A Feature Fusion-based Detection Model Against Adversarial XSS Attacks.
  • TinyDF: Tiny and Effective Model for Deepfake Detection.
  • Staged Collaborative Adversarial Training: Leveraging Peer Models for Stronger Robustness.
  • CIEGAN: An Innovative Generative Method for Solving the Sample Imbalance Problem in CDN Website Traffic Classification.
  • PD-ADPVFL: Performance-Driven Adaptive Differential Privacy Vertical Federated Learning.
  • A Communication-Efficient Federated Contrastive Learning Framework for Intrusion Detection.
  • Graph-Temporal Double Deep Q Network (GT-DQNet) for Efficient Workflow Scheduling in Mobile Edge Computing.
  • A meta-heuristic cloud resource scheduling strategy balancing timeliness and cost.
  • Reversible Data Hiding in Encrypted Images Based on Block and Bit Plane Recomposing.
  • Efficient Privacy-Preserving Spatial Data Query in Mobile Internet of Things.
  • Link Failure Recovery in Hybrid SDN Using Prior Knowledge-Based Reinforcement Learning Algorithms.
  • Face Recognition Differential Privacy Protection Method Based on NMF and PCA.
  • CAT-AE2: A Robust IoT Intrusion Detection Model Based on Adversarial Autoencode.
  • Enhancing Privacy Guarantees for Federated Learning with Local Differential Privacy and Secure Multi-party Computation.
  • Performance and Privacy: A Low-Latency Secure Anonymous Authentication Protocol with OPRF.
  • Balancing Interpretability and Cost in Binary Code Similarity Detection by LLM Distillation.
  • Fake News Detection Model Based on Competitive Wisdom and Conflict Debate.
  • KLRAG: Deep Learning Library Vulnerability Detection via Knowledge level RAG.
  • Intelligent Computing in Computer Vision.
  • DFWGAN: Dual-feature Watermarking for StyleGAN.
  • Dual-Modal Structural Decoupling with Semantic Relation Distillation for Text-Based Person Search.
  • Multi-Scale Context-Aware Attention Network with Theme Information for Image Aesthetic Assessment.
  • RAdam-TOG: A Global Perturbation Adversarial Attack Scheme for Object Detectors.
  • PFA: Improving Adversarial Transferability via Prediction Feature.
  • AI-generated Image Detection in Degraded Scenarios.
  • Detection of Underwater Multi-Targets Based on Self-Supervised Learning and Deformable Path Aggregation Feature Pyramid Network.
  • CCD-YOLO11n: A Novel Approach for Player Detection in Floorball.

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