Advanced Intelligent Computing Technology and Applications, Kartoniert / Broschiert
Advanced Intelligent Computing Technology and Applications
- 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025, Proceedings, Part IV
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen
- Verlag:
- Springer, 07/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9789819698714
- Artikelnummer:
- 12765252
- Umfang:
- 556 Seiten
- Gewicht:
- 832 g
- Maße:
- 235 x 155 mm
- Stärke:
- 30 mm
- Erscheinungstermin:
- 24.7.2025
- Serie:
- Lecture Notes in Computer Science - Band 15845
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Advanced Intelligent Computing Technology and Applications |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 89,80* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 87,60* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 87,60* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 109,51* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 87,60* |
Klappentext
.- 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
Biografie (Wei Chen)
Wei Chen is the Wilson-Cook Chair Professor in at Northwestern University. She is a Professor in the Department of Mechanical Engineering, with courtesy appointment in the Department of Industrial Engineering and Management, and is a faculty fellow of the Segal Design Institute. She is also the Director of the interdisciplinary doctoral cluster in Predictive Science and Engineering Design (PSED) at Northwestern. Wei Chen received her PhD in Mechanical Engineering from the Georgia Institute of Technology in 1995, her M.S. from the University of Houston in 1992, and her B.S. from Shanghai Jiao Tong University, China in 1988. Before joining Northwestern University in 2003, she served at Clemson University (1995-98) and the University of Illinois at Chicago (1998-2003). Directing the Integrated DEsign Automation Laboratory (IDEAL), her current research involves issues such as consumer choice modeling and enterprise-driven Decision-Based Design, simulation-based design under uncertainty, model validation, stochastic multiscale analysis and design, robust shape and topology optimization, and multidisciplinary optimization. To promote Decision-Based Design as a new design paradigm that employs the classical decision theory and rigorous mathematical principles to preference modeling and design decision-making, during 1996 to 2004, Chen co-organized the National Science Foundation (NSF) sponsored Open Workshop on Decision-Based Design, a series of 18 face-to-face meetings and website workshops . Chen was the recipient of the 1996 NSF Faculty Early Career Award and the 1998 American Society of Mechanical Engineers (ASME) Pi Tau Sigma Gold Medal achievement award. She was also the recipient of the 2005 Intelligent Optimal Design Prize and the 2006 SAE Ralph R. Teetor Educational award. Chen is a Fellow of American Society of Mechanical Engineers (ASME) and an Associate Fellow of American Institute of Aeronautics and Astronautics (AIAA). She is an elected member of the ASME Design Engineering Division Executive Committee and an elected Advisory Board member of the Design Society. Author of the book Decision Making in Engineering Design (co-edited with Lewis, K. and Schmidt, L.) and over 190 technical papers, Chen is an Associate Editor of the ASME Journal of Mechanical Design and serves as the review editor of Structural and Multidisciplinary Optimization. In the past, she was an Associate Editor of the Journal of Engineering Optimization (07-09).