Big Data and Security

The two-volume set constitutes the refereed proceedings of the 5th International Conference on Big Data and Security, ICBDS 2023, held in Nanjing, China, during December 2224, 2023.

The 35 full papers and 1 short paper were carefully reviewed and selected from 161 submissions. They are organized in topical sections as follows:

Part One: Big Data & New Method and Artificial Intelligence & Machine Learning

Part Two: Data Technology & Network Security and IoT Security & Privacy Protection.

Inhalt

.- Data Technology&Network Security .

.- SodStereo: An Effective Multi Task Learning Network for Stereo Matching and Salient Object Detection.

.- Asymptotic Physics informed Neural Networks for Solving Singularly Perturbed Problems.

.- Development of U net neural network for biomedical images with big data.

.- Research on Implementation of BADGE Active Learning to Increase Defect Detection Effectiveness.

.- Stationary Multi scale Hierarchical Dilated Graph Convolution for Multivariate Time Series Anomaly Detection.

.- Design of Human Resource Optimal Allocation Model for Electric Power Construction Enterprises Based on Machine Learning.

.- Research on the construction of digital education cloud resource database based on ant colony algorithm.

.- Simulation of Short-term Prediction Model of Real Estate Price Index Based on Neural Network Algorithm.

.- IoT Security & Privacy Protection .

.- PLMRAn Efficient Pre Trained Model for Aircraft Maneuver Recognition.

.- Blockchain based WeChat small program platform: a new type of data security and management solution.

.- A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization.

.- An Algorithm for Analyzing Psychological Characteristics in Music Education Based on Markov Model.

.- Enhancing Privacy Strategy in New Power Systems: Problem Assessment, Comparative Analysis and Suggestions.

.- Internet public opinion evolution model and simulation based on big data and grey clustering algorithm under new media environment.

.- Simulation of Regional Financial and Economic Development Decision Model Based on Decision Tree Algorithm.

.- Simulation Research on Pre-alarm Model of Enterprise Shared Financial Crisis Based on Genetic Algorithm.

.- Research on Accurate Poverty Alleviation Algorithm of Rural Industry Based on Association Rules Mining.

.- Compute First Networking Scheduling Strategy based on Genetic Algorithm in Edge Computing Environment.