A Probabilistic Method to Identify HTTP/1.1 Slow Rate DoS Attacks
1 Introduction
2 Background
2.1 HTTP/1.1
2.2 Slow Rate HTTP/1.1 DoS Attacks
3 Related Work
4 Proposed Detection Approach
4.1 Training Phase
4.2 Testing Phase
4.3 Selecting Threshold Value([beta])
5 Experimental Results
5.1 Testbed Architecture
5.2 Data Collection for Training Phase
5.3 Data Collection for Testing Phase
6 Conclusion
References
Transmission Pricing Using MW Mile Method in Deregulated Environment
1 Introduction
2 Problem Statement

Intro
Preface
Contents
Editors and Contributors
Development of PMSM Servo Driver for CNC Machines Using TMS28379D Microcontroller
1 Introduction
2 Literature Review
3 Methods
3.1 PMSM Servo Driver Hardware Configuration
3.2 Scale Factor
3.3 Dynamic Model for PMSM
3.4 Applying PID Controller to the PMSM Servo Driver
3.5 Trapezoidal Motion Profile Calculation
3.6 Features for PMSM Servo Driver
3.7 PC-Based Software Design
4 Results
5 Discussion
6 Conclusions and Future Work
References

3 Five-Bus Test System and Relevant Data
4 Methodology
4.1 MW Mile Method
5 Results and Discussion
6 Conclusion
References
Performance Analysis of Nonlinear Companding Techniques for PAPR Mitigation in 5G GFDM Systems
1 Introduction
2 GFDM System Model
3 PAPR and HPA Nonlinearity in GFDM
4 PAPR Reduction Techniques
4.1 Mu Law Companding
4.2 Root Companding
4.3 Exponential Companding
5 Performance Evaluation
6 Conclusion
References
Tensor Completion-Based Data Imputation Framework for IoT-Based Underwater Sensor Network
1 Introduction

2 Related Work
3 Description of the Missing Data Problem and Representation of Dataset in a 3D Tensor
4 Tensor Completion-Based Data Imputation Framework for the IoT-USN System
5 Result Evaluation and Analysis
5.1 Description of Water Sensor Dataset
5.2 Result Analysis in Terms of RMSE and MAPE
6 Conclusion
References
Pre-training Classification and Clustering Models for Vietnamese Automatic Text Summarization
1 Introduction
2 Related Work
3 Model
3.1 Proposed Summary Model
3.2 The kmeans Clustering
3.3 Stochastic Gradient Descent

3.4 Word Representation
3.5 Cosine Distance
3.6 ROUGE
4 Experiment
4.1 Data Set
4.2 Evaluating Computer
4.3 Training, Summarizing, and Parameters
4.4 Results
5 Conclusion and Future Work
References
Identifying Critical Transition in Bitcoin Market Using Topological Data Analysis and Clustering
1 Introduction
2 Literature Survey
3 Experimental Overview
3.1 Dataset
3.2 Algorithms Used
3.3 Experimental Values Used
4 Results
4.1 Cluster Validation
5 Conclusion and Future Work
References