Intro
Preface
Contents
About the Editors
Wireless SDN: A Perspective for Handover Management
1 Introduction
2 Motivation
3 Existing Solutions Along with Their Issues
3.1 WLAN
3.2 Cellular Networks
3.3 Wireless Sensor Networks
3.4 Hybrid Network
4 Discussion
5 Conclusion
References
Classification of Sentiment Analysis of Tweets on Twitter
1 Introduction
2 Related Work
3 Proposed System
3.1 The Setup
3.2 The Data
3.3 Preprocessing
4 The Models
4.1 Statistical Language Models
4.2 Neural Language Models

4.3 Bidirectional Encoder Representations from Transformers (BERT)
5 Experiment and Result
5.1 Model result
5.2 Comparison
References
A Boosted Random Forest Algorithm for Automated Bug Classification
1 Introduction
2 Literature Survey
3 Proposed Model
3.1 Proposed Boosted Random Forest Algorithm
4 Results
5 Conclusion
References
Secure QR Code Transactions Using Mobile Banking App
1 Introduction
1.1 Mobile Banking Applications
1.2 Cardless Cash Transaction
2 Design and Implementation of a Model for Secure QR Code Transactions

2.1 Roles Types Used in the System
2.2 Access Control Matrix for Different Roles
2.3 System View at Higher Level-Conceptual Model
2.4 Technology Harnessed
2.5 System Requirements
2.6 Interaction of Customer with the System
2.7 Interaction of Customer with the System
2.8 Testing Cashier Role
3 Conclusion and Scope for Future Work
References
A Small-Scale Ontology to Represent Knowledge About Question Items
1 Introduction
2 Domain Ontology: Background
2.1 Scope of the Question Ontology
3 Roles in University Examinations Systems

4 The Question Item Ontology
4.1 Types of Question Items Based on Cognitive Skills
4.2 Associating Question Items with Course Curricula
4.3 Types of Question Items Based on Responses
4.4 Assessment Information
4.5 Authoring and Other Information
5 Related Work
5.1 Standardizing Initiatives
5.2 Design and Deployment Models for Question Banks
5.3 Procedural Approaches
6 Conclusion
References
Deep Learning for Classification of Encrypted Images
1 Introduction
2 Literature Survey
3 Proposed Work
3.1 Histogram Analysis

3.2 Classification of Encrypted Images
4 Result
5 Conclusion and Future Work
References
A Clustering-Based Approach to Feature Selection for Breast-Cancer Classification
1 Introduction
2 Related Work
3 Background Material
3.1 Genetic Algorithm
3.2 Clustering
3.3 Decision Tree Classifier
3.4 Random Forest Classifier
3.5 Support Vector Machine Classifier
4 Proposed Framework
4.1 First Stage: Data Preparation
4.2 Second Stage: Genetic Algorithm Optimizer
4.3 Third Stage: Classification
5 Experimental Study and Results
5.1 Dataset