
Big Data and Security
Description
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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 22-24, 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.
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Content
.- 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 .
.- PLMR:An 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.
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