Big Data and Security

4th International Conference, ICBDS 2022, Xiamen, China, December 8-12, 2022, Proceedings
Herausgegeben:Tian, Yuan; Ma, Tinghuai; Jiang, Qingshan; Liu, Qi; Khan, Muhammad Khurram

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8-12, 2022.
The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

Produktdetails

• Communications in Computer and Information Science 1796
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-99-3299-3
• 1st ed. 2023
• Seitenzahl: 768
• Erscheinungstermin: 31. Mai 2023
• Englisch
• Abmessung: 235mm x 155mm x 41mm
• Gewicht: 1142g
• ISBN-13: 9789819932993
• ISBN-10: 9819932998
• Artikelnr.: 67818601

Inhaltsangabe

Big Data&New Method.- Data-driven energy efficiency evaluation and energy anomaly detection of multi-type enterprises based on en-ergy consumption big data mining.- Research on data-driven AGC instruction execution effect recognition method.- Research on day-ahead scheduling strategy of the power system includes wind power plants and photovoltaic power stations based on big data clustering and filling.- Day-ahead scenario generation method for renewable energy based on historical data analysis.- A High-Frequency Stock Price Prediction Method based on Mode Decomposition and Deep Learning.- A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning.- Research on Data Watermark Tracing System in Hadoop Environment.- Application of RFID tag in the Localization of Power Cable based on Big Data.- Research Hotspot and Evolution Trend Of Virtual Power Plant In China an Empirical Analysis Based On BigData.- Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data.- Research on the evolution of new energy industry financing ecosystem under the background of big data.- A Survey of the State-of-the-Art and Possible Extensions of Recommender System Based on Big Data.- An Innovative AdaBoost Process Using Flexible Soft Labels on Imbalanced Big Data.- Artificial Intelligence&Machine Learning Security.- Feature Fusion based IPSO-LSSVM fault diagnosis of on-load tap.- Graphlet Based Measure to Assess Institutional Research Teams.- Logical Relationship Extraction of Multimodal South China Sea Big Data Using BERT and Knowledge Graph.- Research on Application of Knowledge Graph in War Archive Based on Big Data.- Semi-supervised learning enabled fault analysis method for power distribution network based on LSTM autoen-coder and attention mechanism.- Fault detection method for power distribution network based on ensemble learning.- Factors Influencing Chinese Users' Willingness to Pay for O2O Knowledge Products Based on Information Adoption Model.- A Survey of Integrating Federated Learning with Smart Grids Application Prospect, Privacy Preserving and Challenges Analysis.- Application of the fusion access technology of carrier and 5G in power communication.- Muscle fatigue classification based on GA optimization of BP neural network.- Data Technology&Network Security.- Research on typical scenario generation based on distribution network data mining and improved policy clustering.- A data-driven and deep learning-based economic evaluation method for new power system distribution grid.- Study on random generation of virtual avatars based on Big data.- Ordering, pricing, and coordination of a closed-loop supply chain with risk preference.- An explainable optimization method for assembly process parameter.- A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators.- Research on Attribute-Based Privacy-Preserving Computing technologies.- Research on BIM modeling Technology from the Perspective of Power Big Data Security.- Security risk management of the Internet of Things based on 5G technology.- Multi slice SLA collaboration and optimization of power 5G big data security business.- Virtualized Network Functions Placement Scheme in Cloud Network Collaborative Operation Platform.- Grounded Theory-Driven Knowledge Production Features Mining: one Empirical Study Based on Big Data Technology.- Research on Digital Twin Technology of Main Equipment for Power Transmission and Transformation based on Big Data.- Efficient Spatiotemporal Big Data Indexing Algorithm with Loss Control.- Cybersecurity & Privacy.- Privacy Measurement Based on Social Network Properties and Structure.- Research on 5G-based Zero Trust Network Security Platform.- A Mobile Data Leakage Prevention System Based on Encryption Algorithms.- Research on Data Security Access Control Mechanism in Cloud Computing Environment.- Research on Data Security Storage System Based on Distributed Database.- Design of an Active Data Watermark Detection System.- Research on Privacy Protection Methods for Data Mining.- A Cluster-based Facial Image Anonymization Method Using Variational Autoencoder.- IoT Security.- Research on the Security Diagnosis Platform for Partial Discharge of 10kV Cables in Urban Distribution Networks.- Research on the Electromagnetic Sensor-based Partial Discharge Security Monitoring System of Distribution Network.- Design of Ultrasonic-Based Remote Distribution Network Online Security Monitoring Device.- An Intelligent IoT Terminal Detection System based on Data Sniffing.- Intelligent IoT Terminal Software Identification System based on Behavior Features.- Research on the Identification Model of Power Terminal.- Research on Firmware Vulnerability Mining Model of Power Internet of Things.- How can social workers participatein big data governance? The third-party perspective on big data governance.- Power network scheduling strategy based on federated learning algorithm in edge computing environment.