New Trends in Information and Communications Technology Applications: 6th International Conference, NTICT 2022, Baghdad, Iraq, November 16–17, 2022, ... in Computer and Information Science)

Preface
Organization
Contents
Computing Methodologies
Estimating Blur Parameters to Reconstruct the Motion Blurred Images
	1 Introduction
	2 Related Works
	3 Motion Blur Model
	4 Hough Transform
	5 Cepstrum Domain Analysis
	6 Methodology
		6.1 Check the Image Quality
		6.2 Motion Blur Angle Estimation
		6.3 Motion Blur Length Estimation
		6.4 Create De-blurring Filter (PSF)
		6.5 Deblured Image
	7 Experimental Results and Discussion
	8 Conclusion
	References
Enhancing Service Classification for Network Slicing in 5G Using Machine Learning Algorithms
	1 Introduction
	2 Related Works
	3 The Proposed Model
	4 Result and Discussion
	5 Conclusions and Future Work
	References
MesoNet3: A Deepfakes Facial Video Detection Network Based on Object Behavior Analysis
	1 Introduction
	2 Related Work
	3 The Proposed Method
		3.1 MesoNet3 Network
		3.2 Dataset
		3.3 The Preprocessing
		3.4 Testing the Videos
	4 Experiment Results
	5 Conclusion
	References
Computer Vision Techniques for Hand Gesture Recognition: Survey
	1 Introduction
		1.1 Hand Gesture Methods
		1.2 Applications of Gesture Recognition System
	2 Research Aims and Approach
		2.1 Related Works
		2.2 A Review of Gesture Recognition Dataset
	3 Methodology of Research
		3.1 Hand Gesture Recognition Based on AI Techniques
		3.2 ANN and DNN Techniques for Hand Gesture Recognition
	4 Conclusion
	References
A Comprehensive Review in Using the Advances of Deep Learning in the 3D Race Classification
	1 Introduction
		1.1 Face Morphology and Computer Vision
		1.2 Using the Facial Features to Analyze the Human Face
		1.3 Face Features Representation
	2 Classifying the Human Faces According to Their Features
		2.1 Some Issues and Challenges of the Face and Race Classification
	3 Race Classification
		3.1 Race Recognition Based on Face Morphology
		3.2 Race Classification, A Literature Review
		3.3 3D Face Analysis and Racial Face Classification
		3.4 Deep Learning Advances in Race Recognition
	4 Conclusion
	References
Multi-agents as Data Mining Classifiers and Crawlers to Get Intelligent E-Advertisements
	1 Introduction
	2 Related Work
	3 The Proposed System
	4 Proposed System Stages
		4.1 Dataset Preprocessing
		4.2 Feature Extraction
		4.3 Dataset Classification
		4.4 Splitting the Dataset
		4.5 Agents as Data Mining Classifiers
		4.6 Preprocessing the User Query at Clients
		4.7 Classifying the Query Inside Each Agent
		4.8 Agent’s Decision-Making
		4.9 Crawling the Dataset URLs and the Web Pages
	5 Results and Discussion
	6 Conclusions
	References
Automated Multi-style Iraqi Cars License Recognition Based on Convolutional Neural Network Technology
	1 Introduction
	2 Literature Survey
	3 Dataset
	4 Build and Train CNN Model
		4.1 Dataset Preparing
		4.2 CNN Model
	5 The Result and Measuring Accuracy
	6 Conclusion
	References
Information Systems
Food Recommendation System Based on Data Clustering Techniques and User Nutrition Records
	1 Introduction
	2 Machine Learning
	3 The Recommender Systems
		3.1 Content-Based Filtering (CBF)
		3.2 Collaborative Filtering (CF)
		3.3 Hybrid
	4 The Clustering
		4.1 The K-means Clustering
		4.2 K-means Algorithm
		4.3 The Pros and Cons of the K-means Clustering
	5 Related Work
	6 The Proposed Methodology
		6.1 Phase One: Dataset Collection and Preprocessing
		6.2 Phase Two: The Data Clustering and Analyzing
		6.3 Phase-3: Recommended List Filtering and Output
	7 Results and Evaluation
	8 The Performance of the Proposed FRS
	9 Conclusions
	References
EEG Data Compression Using Tap9/7 Wavelet Transform and Double Shift-Coding
	1 Introduction
	2 The Proposed Compression System
		2.1 Transformation (Bi-orthogonal Tap9/7)
		2.2 Hierarchical Quantization
		2.3 Encoding (Double Shift Coding)
	3 Experimental Results and Comparison with Related Works
	4 Conclusions
	References
Network
Implementation of Network Slicing for Multi-controller Environment Based on FlowVisor
	1 Introduction
	2 Concept of Network Slicing
	3 Scenarios of Network Slicing Based-SDN
	4 Methodology
	5 Implementation Details and Evaluation Results
		5.1 Implementation Details of Network Slicing
		5.2 Validation and Evaluation of Network Slice
	6 Conclusion
	References
Security and Privacy
A Novel Ensemble Method for Network-Based Anomaly Intrusion Detection System
	1 Introduction
	2 Ensemble Based System
		2.1 Ensemble Systems: A Quick Overview
		2.2 Ensemble Methods
		2.3 Related Works
	3 Rule Extraction
		3.1 Naïve Bayes Rule Extraction
		3.2 Extracting J48 Rules
	4 Rule Evaluation Metrics REMs
		4.1 Empirical Evaluation Metrics
		4.2 Metrics for Statistical Evaluation
	5 Proposed Ensemble System
		5.1 Ensemble-Based Rule Evaluation Metrics (EBREMs)
		5.2 Stacking-Based Rule Cover (SBRC)
	6 Dataset, Experiments, and Findings
		6.1 Dataset and Data Pre-processing
		6.2 Experiments Design
		6.3 Results and Discussions
	7 Conclusion
	References
New Security Mechanism of Health Data Based on Blockchain–NFV
	1 Introduction
		1.1 BlockChain Challenges
	2 Related Work
	3 Curent Work
		3.1 Blockchain Execution
		3.2 Shared Data
	4 Proposed Framework
		4.1 Virtual Blockchain Environment
		4.2 Virtual Blockchain in Healthcare
		4.3 Confidentiality
	5 Implementation and Results
		5.1 Key Generation
		5.2 Smart Contracts
		5.3 Virtual Distributed Ledger Technology
		5.4 Comparison Metrics
	6 Conclusion and Future Work
	References
Use Multichannel EEG-Based Biometrics Authentication Signal in Real Time Using Neural Network
	1 Introduction
	2 Background of EEG
		2.1 Emotiv Capabilities
	3 Problem Statement
	4 Research Objectives
	5 Related Works
	6 Materials and Methods
		6.1 Subjects
		6.2 Signal Acquisition
		6.3 EEG Signal Preprocessing
		6.4 Filtering, Artifact Removal
		6.5 EEG Feature Extraction
		6.6 EEG Signal Classification
	7 Results and Discussion
	8 Conclusions
	References
Machine Learning-Based DDoS Attack Detection in Software-Defined Networking
	1 Introduction
	2 Work's Contributions
	3 ML Related Work
	4 The ML Algorithms
	5 The Proposed System
		5.1 Description of Dataset
		5.2 Preprocessing and Feature Selections
		5.3 Selection of Classifiers
	6 Discussion of the ML Classifiers Results
	7 The Validation of PART Classifier using CICDDoS2019 Dataset
	8 The SDN Environment
		8.1 The Implementation Environment and Tools
		8.2 The SDN Network Configuration
		8.3 Comparison of Recent Works in SDN Network
	9 The Conclusion
	References
Author Index