Advanced Intelligent Computing Technology and Applications: 21st International Conference, ICIC 2025, Ningbo, China, July 2629, 2025, Proceedings, Part IV [Pehme köide]

.- Information Security


.- DDos Attack Identification Based on Temporal Features.
.- An Intonation-Based Black-Box Generative Adversarial Attack Method for
Audio.
.- RanHunter: Advancing Ransomware Detection with Channel Attention and
Multi-Head Attention.
.- Cellular-Snooper: A General and Real-Time Mobile Application
Fingerprinting Attack in LTE Networks.
.- True or False? Dually Perceiving Relevance of Source Post and Comment Flow
for Rumor Detection.
.- Explanation-Inspired Transferable Adversarial Attacks with Layer-Wise
Increment Decomposition.
.- CNN-DST-IDS: CNN and D-S Evidence Theory Based Intrusion Detection
System.
.- PPAGAN: A Privacy-Preserving Self-Attention GAN Framework for Image
Synthesis.
.- ADPF: Adversarial Sample Detection Based on Prediction Feature.
.- MvSMIA: Multi-View Source Membership Inference Attack in Federated
Learning.
.- RDP-FedAB: A Federated Learning Framework Balancing Privacy Protection and
Model Performance.
.- Transferable Adversarial Attacks via Diffusion-Based Keyword Embedding and
Latent Optimization.
.- Optimization of IoUT Systems: A Hierarchical Federated Transfer Learning
Approach Based on UAV Computation Offloading.
.- Malicious Encrypted Traffic Detection with Transformer and Dual-Layer
Meta-Update Incremental Learning.
.- ElevPatch: An Adversarial Patch Attack Scheme Based on YOLO11 Object
Detector.
.- MetaSSL-ETD: Robust Detection of Malicious Encrypted Traffic Based on
Semi-Supervised Meta-Learning.
.- A Steganalysis Framework for Enhancing Model Generalization Performance.
.- Frequency-Aware Purification: A Black-box Defense against Backdoor
Attacks.
.- Stealthy Backdoors in Vertical Federated Learning.
.- CTI-Shapley: An ATT&CK-Guided Enhanced Shapley Value Mechanism for Benefit
Distribution in Cyber Threat Intelligence Sharing.
.- Distributed Cumulative Gradient Backdoor Attack Against Federated
Learning.
.- MSIAA: Multi-Scale Inversion Adversarial Attack on Face Recognition.
.- Leveraging Fine-Tuned Large Language Models for Device Fingerprint
Extraction in IoT Security.
.- MICD: Deepfake Detection with Masked Identity Consistency Detector.
.- PGAE: A Perturbed Graph Autoencoder Integrating Explicit and Implicit
Features for APT Detection.
.- Durability-Optimized Model Poisoning Attack against Federated Learning
Systems.
.- Explainable Machine Learning Models for Phishing Website Detection:
Enhancing Transparency and Accuracy in Cybersecurity.
.- FRIFL: A Fair and Robust Incentive Mechanism for Heterogeneous Federated
Learning.
.- Reversible Data Hiding for 3D Mesh Models in Encrypted Domain Based on
Adaptive MSB and Difference Prediction.
.- FedFIP: A Personalized Federated Learning Optimization Method with
Differential Privacy Protection.
.- ProAnalyzer: Inferring Network Service's Fuzzing Format with Grey-box
Metric.
.- Research on Differential Privacy in Personalized Heterogeneous Federated
Learning Based on Fisher Information Matrix.
.- APFedEmb: An Adaptive and Personalized Federated Knowledge Graph Embedding
Framework for Link Prediction.
.- Federated Knowledge Collaborative Recommendation System with Privacy
Preserving.
.- Towards Reliable Detection of Malicious DNS-over-HTTPS (DoH) Tunneling
Traffic under Low-quality Training Data.
.- Ensemble Partitioning: A Defense Mechanism Against Membership Inference
Attacks in ML Models.
.- A Trusted Computing Power Network Scheduling Algorithm Based on Federated
Learning.
.- Secure Outsourced Matrix Multiplication of Floating Point Numbers.
.- Research on Synthetic Trajectory Data Publication Resisting Location
Inference Attacks Based on Differential Privacy.
.- Alias6: An IPv6 Alias Resolution Technology Based on Multiple Fingerprint
Features.
.- Update Recovery Attacks on Two-Dimensional Encrypted Databases: Exploiting
Volume Pattern Leakage in Range Queries.
.- VulPelican: an LLM and Interactive Static Analysis Tool Based
Vulnerability Detection Framework.
.- Energy-aware Task Scheduling Using DVFS and On/Off Switching in Data
Center.