Intro
Preface
Organization
Contents
Part I
Contents
Part II
BSMRL: Bribery Selfish Mining with Reinforcement Learning
1 Introduction
1.1 Related Work
2 Preliminaries
2.1 Selfish Mining
2.2 Bribery Attack
2.3 Reinforcement Learning
3 Modeling BSMRL
3.1 Constructing the Environment
3.2 The Attacker's Mining Strategy
4 Simulation
5 Conclusion and Future Work
References
The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector
1 Introduction

2 Ontology Learning Framework in Multi-dividing Setting and Prerequisite Knowledge
3 Main Result and Proof
4 Conclusion
References
A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid
Abstract
1 Introduction
2 Preliminaries
2.1 Group Blind Signature
2.2 Schnorr Identification Protocol
3 System Model and Adversary Model
3.1 System Model
3.2 Adversary Model
4 Our Scheme
4.1 System Initialization
4.2 User Anonymous Authentication and Data Reporting
4.3 Blindly Signature on the Message

4.4 Verification and Traceability
5 Security Analysis
5.1 Authenticatability
5.2 Privacy Protection
5.3 Anonymity
5.4 Unforgeability
5.5 Traceability
6 Conclusion
References
MB Based Multi-dividing Ontology Learning Trick
1 Introduction
2 MB Based Multi-dividing Ontology Learning Algorithm
3 Experiments
3.1 Experiment on Mathematics-Physics Disciplines
3.2 Ontology Mapping on Sponge City Rainwater Treatment System Ontologies
3.3 Experiment on Chemical Index Ontology
4 Conclusion
References

Application of LSTM Model Optimized Based on Adaptive Genetic Algorithm in Stock Forecasting
Abstract
1 Introduction
2 Algorithm Background
3 Problem Description
4 Algorithm Description
4.1 Genes Code
4.2 Crossover Operator
4.3 Mutation Operator
4.4 Steps of the Algorithm
5 Experimental Result
6 Conclusion
Acknowledgement
References
A Network Based Quantitative Method for the Mining and Visualization of Music Influence
Abstract
1 Introduction
2 Notations
3 LMIFNC Model for Influencer-Follower Network
3.1 Features of "Music Influence."

3.2 The Influence of Artist
3.2.1 The Initial Influence of Artist Drawn from Linkage
3.2.2 Logarithm Function for Time-Offset Correction Coefficient C
3.2.3 Assigning Weight to the Edges of Influencer-Follower Network
3.3 Deriving Influencer-Follower Network and Subnetwork
3.3.1 Definition of Modularity and Increment of Modularity
3.3.2 Louvain Method
3.3.3 Process of Proposed LMIFNC for Influencer-Follower Network Construction
4 Experimental Results and Discussion
4.1 Data Set
4.2 Results and Visualization
5 Conclusion and Future Work
References