Soft Computing for Security Applications: Proceedings of ICSCS 2021

by Fuqian Shi, G. Ranganathan, Xavier Fernando, Youssouf El Allioui
Length: 990 pages
Edition: 1
Language: English
Publisher: Springer
Publication Date: 2021-10-26
ISBN-10: 9811653003
ISBN-13: 9789811653001
Sales Rank: #0 (See Top 100 Books)
This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.
Preface
Acknowledgements
Contents
About the Editors
Facial Image Denoising and Reconstruction
	1 Introduction
	2 Related Work
		2.1 Image Denoising
		2.2 Image Outpainting
	3 Dataset
		3.1 Description
		3.2 Preprocessing
	4 Methodology
		4.1 Image Denoising
		4.2 Image Reconstruction
	5 Metrics
	6 Model Architecture
		6.1 Image Denoising
		6.2 Image Reconstruction
	7 Results
		7.1 Image Denoising
	8 Conclusion
	9 Future Works
	References
One Method for RC5 Algorithm’s Cryptographic Strength Improving
	1 Introduction
	2 Priming the Modification to the RC5 Algorithm
		2.1 Nonlinear Functions to Improve RC5 Cryptocurrency
		2.2 Obtained Results of Improved RC5 Algorithm Operation
	3 Cryptoresistance Evaluation of the RC5 Algorithm Improving
		3.1 Cryptanalytic Stability Evaluation
		3.2 Determination of Additional Bits When Encoding in a Crypto Algorithm
		3.3 Simple Search Cryptanalysis (Brute Force)
	4 Conclusion
	References
Multiclass Classification of Firewall Log Files Using Shallow Neural Network for Network Security Applications
	1 Introduction
	2 Dataset of Internet Firewall
	3 Action Classification System Internet Firewall
	4 Development and Experimental Environment
	5 Results and Discussion
	6 Conclusions
	References
On the Possibility of Evasion Attacks with Macro Malware
	1 Introduction
	2 Related Work
		2.1 Detection with Machine Learning
		2.2 Evasion for Machine Learning-Based Detection
		2.3 Evasion for Natural Languages
	3 Background
		3.1 Bag of Words (BoW)
		3.2 Latent Semantic Indexing (LSI)
	4 Proposed Method
		4.1 Outline
		4.2 Training Process
		4.3 Evasion Process
		4.4 Replacing Method
		4.5 Inserting Method
		4.6 Implementation
	5 Experiment
		5.1 Dataset
		5.2 Outline
		5.3 The Effect of the Replacing Method
		5.4 The Effect of the Simple Inserting Method
		5.5 The Effect of the Modified Inserting Method
		5.6 Optimizing the Number of LSI Topics
	6 Discussion
		6.1 The Risk of Evasion Attacks with VBA Malware
		6.2 Resilience to the Attacks
		6.3 Countermeasure Against Evasion Attacks
		6.4 Limitation of This Study
		6.5 Ethics of This Study
	7 Conclusion
	References
IoT-Based Smart Crop Field Monitoring and Protection System from Heavy Rainfall Utilizing Raspberry Pi
	1 Introduction
	2 Literature Survey
	3 Existing System
	4 Proposed System
	5 Results and Discussion
	6 Conclusion
	References
A Systematic Review of Adoption of Blockchain and Machine Learning Technology and Its Application
	1 Introduction
	2 Research Methodology
		2.1 Definition of Research Questions
		2.2 Descriptive Analysis
		2.3 Result
	3 Blockchain Application
		3.1 Blockchain Impact on Various Sectors
		3.2 Ongoing Projects on Blockchain Technology
	4 Conclusion
	References
Review of Malicious URL Detection Using Machine Learning
	1 Introduction
	2 Background Study
	3 Related Works
	4 Observed Issues
	5 Research Challenges
	6 Conclusion
	References
Securing IoT Using Artificial Intelligence and Feature Engineering
	1 Introduction
	2 Related Work
	3 Botnet and Types of IoT botnet
	4 Dataset
	5 Proposed Methodology
	6 Results and Discussion
	7 Conclusion
	References
A Novel Framework for NIDS Using Stacked Ensemble Learning
	1 Introduction
	2 Literature Review
	3 Methods
		3.1 Framework
		3.2 Stacking Method
	4 Experimental Setup
		4.1 Dataset Description
		4.2 Performance Metrics
	5 Results and Discussion
	6 Conclusion
	References
Butterfly Algorithm Boosted Deep Random Vector Functional Link Network for Keystroke Dynamics
	1 Introduction
	2 Related Work
	3 Background
		3.1 Keystroke Vector
		3.2 Artificial Neural Network
		3.3 Multilayer Perceptron
		3.4 Deep Neural Network
	4 Methodology: Butterfly Optimization Boosted Deep Random Vector Functional Link Network for Prediction of Continuous Keystroke Dynamic Authentication
		4.1 Overall Architecture
		4.2 Random Vector Functional Link Network (RVFLN)
		4.3 Deep Random Vector Functional Link Network
		4.4 Butterfly Optimization Algorithm (BOA)
	5 Results and Discussions
	6 Conclusion
	References
Hybrid Context-Aware Recommendation System Using Deep Autoencoder
	1 Introduction
	2 Preliminaries
		2.1 Collaborative Filtering
		2.2 Deep Autoencoders
	3 Related Works
	4 Model
	5 Experiments and Results
		5.1 Dataset
		5.2 Experimental Setup
		5.3 Side Information
		5.4 Impact of Contextual Information
		5.5 Impact of Different Activation Function and Increasing the No. of Layers
		5.6 Impact of Different Activation Type and no. Of Layers
	6 General Results
	7 Conclusion
	References
Exploration and Implementation of RSA-KEM Algorithm
	1 Introduction
	2 RSA (Rivest, Shamir, Adleman) Algorithm
		2.1 Algorithm
		2.2 Primality Testing of a Number
	3 RSA-KEM (Rivest, Shamir, Adleman-Key Encapsulation Mechanism) Algorithm
		3.1 Algorithm
		3.2 Password-Based Key Derivation Function (PBKDF)
		3.3 Advanced Encryption Standard (AES)
	4 Results
	5 Conclusions
	References
Botnet Attack Detection Using Machine Learning Algorithm Integrated With Ensemble Algorithm
	1 Introduction
	2 Review of the Literature
	3 Proposed Botnet Attack Detectıon Method
		3.1 Machine Learning Model
		3.2 Ensemble Classifier Model
	4 Result and Analysis
	5 Conclusion
	References
Artificial Intelligence-Based Automation System for Health Care Applications: Medbot
	1 Introduction
	2 Experimental Workflow Analysis
	3 Module Description
		3.1 Data Collection
		3.2 Preprocessing
		3.3 Intent Identification
		3.4 Response Selection
		3.5 Suggestions and Dialogue Management
	4 Implementation and Result
		4.1 Validation Process
	5 Conclusion
	References
An Approach for Maintaining Safety at Work Places During the COVID-19 Pandemic Using Deep Learning and Contact Tracing Applications
	1 Introduction
	2 Literature Survey
	3 System Description
		3.1 Data Collection
		3.2 Classification Model: YOLOv3 Algorithm
		3.3 Web site and Contact Tracing Application Along with Multipurpose Wearable
	4 Results and Analysis
	5 Conclusion
	References
Online Certificate Generation and Verification Using Blockchain Framework
	1 Introduction
	2 Preliminary Concept
		2.1 Blockchain
		2.2 Ethereum
		2.3 SVG—Scalar Vector Graphics
	3 Literature Survey
		3.1 Shanmuga Priya R, Swetha N ``Online Certificate Validation Using Blockchain'' ch16b6
		3.2 Nitin Kumavat, Swapnil Mengade, Dishant Desai, JesalVarolia ``Certificate Verification System Using Blockchain'' ch16b7
	4 Proposed System Architecture
		4.1 Methodology
		4.2 Certificate Generation
		4.3 Certificate Validation
		4.4 Working of Application
	5 Conclusion
	References
A Survey on LiDAR-Based SLAM Technique for an Autonomous Model Using Particle Filters
	1 Introduction
	2 Overview of Different Slam Techniques
		2.1 EKF-Based SLAM
		2.2 GridMap-Based SLAM
		2.3 Graph-Based SLAM
		2.4 Comparison Between Different SLAM Techniques
	3 Implementation of RBPF-Based SLAM with LiDAR
		3.1 Hardware Used
		3.2 Software Used
	4 Results
		4.1 Maps–From the Simulation
		4.2 Maps from 2D LiDAR Scan Data
	5 Conclusion
	6 Limitations and Discussion
	References
TrafficNN: CNN-Based Road Traffic Conditions Classification
	1 Introduction
	2 Related Works
	3 Convolutional Neural Network (CNN)
		3.1 Convolutional Layer
		3.2 Pooling Layer
		3.3 Flatten Layer
		3.4 Fully Connected Layer
		3.5 Padding
		3.6 Rectified Linear Units (ReLU)
		3.7 Batch Normalization
		3.8 Dropout
		3.9 Softmax
	4 Proposed Methodology
		4.1 Data Collection
		4.2 Data Augmentation
		4.3 Data Preprocessing
		4.4 TrafficNN Architecture
	5 Performance Evaluation
		5.1 Training the Model
		5.2 Result Discussion
		5.3 Comparison Using Transfer Learning
	6 Future Work
	7 Conclusions
	References
Review of Malware Detection Using Deep Learning
	1 Introduction
	2 Literature Review
	3 Deep Learning Over Machine Learning
	4 Discussion
	5 Future Work
	6 Conclusion
	References
ANN Based Hybrid RSSI-TDOA DOA Estimation and Beamforming
	1 Introduction
	2 Problem Formulation
	3 System Model for DOA Estimation
		3.1 ANN Optimized Hybrid RSSI-TDOA Model Based DOA Estimation
	4 System Model for Beamforming
		4.1 Recursive Least Squares (RLS)
	5 Hardware Platform
		5.1 Antenna
		5.2 Eight Element Uniform Linear Array (ULA)
		5.3 System Configuration
	6 Results and Discussion
	7 Conclusion
	References
FPGA Implementation of Nested Binary Phase Codes Using DDS Approach for Radar Pulse Compression
	1 Introduction
	2 Binary Phase Coded Waveforms
		2.1 Nested Barker Codes
	3 Generation of a Barker and Nested Barker Codes Using FPGA
		3.1 Direct Digital Synthesizers (DDS)
		3.2 The Proposed Method to Generate Barker Codes Using DDS
		3.3 Generation and Implementation of 13-Bit Barker Code Using FPGA
		3.4 Generation and Implementation of Nested Barker Code Using FPGA
	4 Conclusion
	References
Cloud Computing-Based Li-Ion Battery-BMS Design for Constant DC Load Applications
	1 Introduction
	2 Literature Survey
	3 Experimental Setup
	4 Results and Discussion
		4.1 Charging Cycle
		4.2 Discharging Cycle
	5 Conclusion
	References
Three-Level Hybrid Data Security
	1 Introduction
	2 Proposed Work
		2.1 Encryption Process
		2.2 Decryption Process
	3 Experimental Results and Analysis
	4 Conclusion
	References
Brain Tumour MRI Image Segmentation and Classification Using FCNN
	1 Introduction
	2 Literature Review
		2.1 Methodology
	3 Convolution Section
		3.1 Convolution Neural Network Based on Python
	4 Architecture Network
	5 Network Training
	6 Conclusion
	References
Decentralized Cloud and File System for Blockchain Environment
	1 Introduction
		1.1 Blockchain Technology
		1.2 Mining in Blockchain
		1.3 Use Cases
	2 Key Dimensions
	3 Decentralized Platform in Blockchain Implementations
	4 IPFS Technology for Security in Blockchain
		4.1 IPFS Integration for Secured Transmission
		4.2 Python-Based Integration of Blockchain Security
	5 Conclusion
	References
A Network Investigation Framework Based on Deep Learning for Fraud Transaction Detection
	1 Introduction
	2 Operations of an Online Fraud
	3 Related Works
	4 Proposed Model
	5 Experimental Setup, Results and Discussions
	6 Conclusion
	References
Coverage Using Swarm Intelligence Family in Wireless Sensor Networks
	1 Wireless Sensor Network
	2 Overview of Coverage
		2.1 Coverage Problem
		2.2 Coverage Methods or Strategies
		2.3 Coverage Properties
	3 Literature Review
		3.1 Swarm Intelligence Family
	4 Solution for Coverage Problems
		4.1 Model Construction
		4.2 Objective Formulation
		4.3 Solution Design
	5 Conclusion
	References
IOT-Based Remote Patient Monitoring System Using Microservices Architecture
	1 Introduction
	2 Related Work
	3 Software and Hardware Requirements
	4 Proposed Work
		4.1 Data Acquisition
		4.2 Data Validation
		4.3 Data Storage
		4.4 Data Visualization
	5 Implementation
	6 Results and Discussions
	7 Experimental Setup
	8 Security
		8.1 System Security
		8.2 Application Security
		8.3 Data Security
	9 Conclusion and Future Work
	References
Detection and Prevention of Faulty Node in Heterogeneous Wireless Sensor Network
	1 Introduction
	2 Objective
	3 Literature Survey
	4 Major Threats in Wireless Sensor Network
	5 Proposed Work
		5.1 Proposed Algorithm
	6 Deployment of Honeypot in WSN
		6.1 Node Parameters in Cooja
	7 Conclusion
	References
Classification of Fake News on Twitter by Using Naïve Bayes Classifier
	1 Introduction
	2 Data Extraction Methods
	3 Sentimental Analysis
	4 Implementation
	5 Results
	6 Conclusion
	References
Enhancing the Security in Wireless Sensor Network Using Hidden Markov Model
	1 Introduction
	2 Literature Survey
	3 Blackhole Attack
	4 Proposed System Architecture
	5 Proposed Methodology
		5.1 Proposed EHMM Algorithm
	6 Result and Discussion
	7 Conclusion
	References
Trust-Based Security Scheme Using Fuzzy Clustering for Vehicular Ad Hoc Networks
	1 Introduction
	2 Literature Survey
	3 Proposed Method
	4 Simulation and Result
		4.1 Energy Consumption
		4.2 Delivery Rate
		4.3 Routing Overhead
	5 Conclusion
	References
AquaVision: Real-Time Identification of Microbes in Freshwater Using YOLOv3
	1 Introduction
	2 Literature Survey
	3 YOLOv3 Algorithm
	4 Proposed System
		4.1 Data Preparation
		4.2 Training Phase
		4.3 Testing Phase
		4.4 Detection and Analysis Phase
	5 Result and Discussion
	6 Conclusion
	References
Gender and Age Recognition Using Audio Data—Artificial Neural Networks
	1 Motivation for Problem
	2 Literature Review
	3 Dataset Description
	4 Requirement Analysis
		4.1 Functional Requirements
		4.2 Non-functional Requirements
		4.3 Hardware Requirements
		4.4 Software Requirements
	5 Proposed Methodology
		5.1 Data Processing
		5.2 Data Visualization
		5.3 Gender Prediction
		5.4 Age Prediction
	6 Conclusion
	References
Merging Data Analytics and Machine Learning Algorithm for Home System Security-Based Internet of Things
	1 Introduction
	2 Related Works
	3 Electricity for Children
	4 Smart Home
	5 Monitoring Security System
	6 Machine Learning for IoT
	7 System Requirements
	8 Development Environment
	9 Proposed Framework for IoT Monitoring System Using Machine Learning
	10 Conclusions
	References
Multiple Approach of RFID-Based Attendance System Using IoT
	1 Introduction
	2 Conventional Versus Smart Attendance
	3 Proposed System
	4 Process Flowchart
	5 Hardware Implementation of Prototype Model
	6 Conclusion
	Appendix
	References
Review of Deep Learning and Interpretability
	1 Introduction
	2 Natural Inspiration for Deep Learning
	3 Neural Network
	4 Convolution Neural Networks
		4.1 Convolution
		4.2 Pooling
		4.3 Backpropagation
	5 Deep Learning for Cancer Classification
	6 Interpretability
		6.1 Shapely Value-Based Interpretation
	7 Results and Discussions
		7.1 Malignant Lymphoma Classification
		7.2 B-ALL and Multiple Myeloma Classification
		7.3 Breast Cancer Dataset
	8 Shapely Value-Based Interpretation
		8.1 Feature Interaction
	9 Conclusion
	References
Enhancement of Network Security Through Intrusion Detection
	1 Introduction
	2 Literature Survey
	3 Intrusion Detection System
	4 Analysis of Intrusions on Wireshark
	5 Conclusion and Future Scope
	References
Optimization of Cost of Smart Grid: A Case Study of Kutch, Gujarat Using HOMER Software
	1 Introduction
	2 System Description
		2.1 Load Profile
		2.2 System Components
		2.3 Solar Radiation, Wind Speed and Biomass
	3 Methodology
	4 Results
	5 Future Scope
	References
Agriculture Protection from Animals Using Smart Scarecrow System
	1 Introduction
	2 Proposed Methodology
	3 System Components and Specification
	4 Flow Chart
	5 Results and Discussion
		5.1 Object Detection by PIR Sensor
		5.2 Auto Height Adjustment
		5.3 Graphical Representation of Season Wise Object Detection
	6 Conclusion
	References
Literature Review on Redistribution of Routing Protocols in Wireless Networks Using SDN Along with NFV
	1 Introduction
	2 Literature Review
		2.1 Related Works
		2.2 Wireless Mesh Network
		2.3 Routing Protocols
		2.4 Open Shortest Path First (OSPF)
		2.5 Redistribution of Protocols in Networks
	3 OpenFlow, SDN, and NFV
		3.1 OpenFlow
		3.2 Software Defined Networking (SDN)
		3.3 Network Function Virtualization (NFV)
	4 Combining NFV and SDN with Traditional Network to Achieve the Optimization of Wireless Network
	5 Conclusion
	References
NewsCheck: A Fake News Detection and Analysis System
	1 Introduction
	2 Literature Review/Related Work
		2.1 Models for Classification
	3 Proposed Solution
		3.1 Data Preparation
		3.2 Data Processing
		3.3 Deep Learning Models
		3.4 Input Formats
		3.5 Optical Character Recognition ( OCR) Module
		3.6 Web Mining
	4 Implementation Setup
	5 Results and Analysis
		5.1 Results of CNN Model
		5.2 Results of Hybrid Model
		5.3 Results of LSTM Model
	6 Comparative Analysis with the Existing System
		6.1 Comparison of Other System
		6.2 Comparison of OCR Models
	7 Conclusion and Future Work
	References
A Predictive Model of Handwritten Digits Recognition Using Expert Systems
	1 Introduction
	2 Literacy Survey
	3 Existing Systems
		3.1 K Nearest Neighbors (KNN)
		3.2 Support Vector Machine (SVM)
		3.3 Neural Networks (NN)
	4 Adopted Methodology
		4.1 Tensor Flow
		4.2 MNIST Dataset
		4.3 The Algorithm CNN
	5 Experimental Setup
	6 Results and Discussion
	7 Conclusion
	References
A Review of Deepfake Technology: An Emerging AI Threat
	1 Introduction
	2 Deepfake Technology
		2.1 Creation of Deepfake Content
		2.2 Constructive Applications of Deepfake
		2.3 Threats of the Deepfake Technology
		2.4 Existing Deepfake Databases
	3 Categorization of the State of Art Technique
	4 Review of Deepfake Detection Methods
		4.1 Exposing Deepfake Using Biological Signals
		4.2 Blockchain and Smart Contracts
		4.3 Variants of Deep Neural Networks
	5 Discussions and Future Research Directions
	6 Conclusion
	References
Robust Image Watermarking Using LWT Transform and Stacking Ensemble Classifier
	1 Introduction
	2 Feature Extraction
		2.1 Process of GSO Algorithm
	3 Proposed Methodology
	4 Experimental Analysis
	5 Conclusion and Future Work
	References
Deep Learning Approach for Stock Price Prediction and Trading
	1 Introduction
	2 Review of Literature
	3 Methodology
		3.1 Long Short Term Memory (LSTM)
		3.2 Support Vector Regressor (SVR)
		3.3 Random Forest Regressor (RFR)
		3.4 Gradient Boosting Regressor (GBR)
		3.5 Trading Agent
	4 Results
		4.1 LSTM
		4.2 SVR
		4.3 Random Forest Regressor
		4.4 Gradient Boosting Regressor
	5 Conclusion
	References
Robust Symmetric Encryption for Public Key Infrastructure
	1 Introduction
		1.1 Asymmetric Encryption
	2 Hybrid Key Infrastructure
		2.1 Advantages of Asymmetric Encryption
		2.2 Limitations
	3 Ratcheting Key Generation
		3.1 Double-Ratcheting
	4 Error-Correcting Codes
		4.1 ECC in Cryptography
		4.2 ECC with Cryptographic Hash
	5 Methods and Tools
		5.1 Super Block Encryption
		5.2 Double-Ratcheted Key Derivation using Parity
	6 DOPE Key
	7 DOPE Key Exchange
		7.1 Overview
		7.2 Request Phase
		7.3 Acceptance Phase
		7.4 Fixation Phase
		7.5 Synchronisation Phase
	8 DOPE Data Exchange
		8.1 DOPE with Block Ciphers
		8.2 DOPE with Stream Ciphers
	9 Security Considerations
		9.1 Authentication
		9.2 Reusing Session Keys
		9.3 Compromised Peer in a Group
		9.4 Compromised Keys in Transit
		9.5 Revocation and Denial
		9.6 Hash Functions
	10 Conclusion
	11 Appendix
		11.1 Choice of BCH Codes for DOPE
		11.2 Probability of Error and Error Correction
		11.3 Super Block AES-GCM Encoding Times Versus DOPE Encoding Times
		11.4 Encoding overheads with DOPE
	References
Big Social Data Analytics
	1 Introduction
	2 Literature Review
	3 Significance of Social Media Analytics
	4 Key Technologies and Working
	5 Tools Used for Big Data Analytics
	6 Challenges of Bıg Social Data
	7 Data Preparatıon and Results Analysis
	8 Conclusion
	References
A Study on Cloud Environment: Confidentiality Problems, Security Threats, and Challenges
	1 Introduction
	2 Contribution of the Survey
	3 Related Work
		3.1 Security Service
		3.2 Cloud Configuration
	4 Cloud Security Issues and Challenges
	5 Security Policies
		5.1 Service-Level Agreement (SLA)
	6 Client Management Issue
		6.1 Client Authentication
		6.2 Client-Centric Privacy
	7 Cloud Computing Security Attacks and Risks
		7.1 Threat Model and Compromise Data Attribute
		7.2 Spoofing
	8 Utilization of Full-Potential for Authentication and Comparision of Various Techniques
		8.1 Injection
		8.2 Path Traversal Attack
		8.3 Protocol Manipulation
		8.4 Resource Depletion
		8.5 Resource Manipulation
		8.6 Sniffing Attacks
	9 Cloud Security Issues in the Future
	10 Conclusion
	References
Security Issues of IoT in Healthcare Sector: A Systematic Review
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Stage 1: Research Planning
		3.2 Stage 2: Research Conducting
	4 Results and Discussion
		4.1 RQ 1 Security Threats in IoT Health Care
		4.2 RQ 2 Threats Solution in IoT Health Care
		4.3 RQ 3 Security Protocols for Reliable Communication
		4.4 RQ 4 Uses of H-Application in IoT
		4.5 RQ 5 Healthcare Sensors/Devices in IoT
	5 Discussion and Conclusion
		5.1 Security Issues of IoT in the Medical Sector
		5.2 Proposed Model for Fast Patients Recovery Model in IoT Health care:
	References
Resume Screening Bot Using RPA
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Process Description in Diagrammatic Format
	4 Results
	5 Conclusion
	References
Image Enhancement and Object Recognition for Night Vision Traffic Surveillance
	1 Introduction
	2 State of Art
	3 Methodology
		3.1 Dark Channel Prior
		3.2 Mathematical Model of DCP Algorithm
		3.3 The Dark Channel Prior Processing Flow
	4 Hardware, Tools and Languages
		4.1 VITIS Unified Tool
		4.2 OpenCL and C++ Languages
		4.3 Alveo Board
	5 Hardware Software Implementation of Dark Channel Prior Algorithm
		5.1 System Architecture
		5.2 Working of the Global Architecture of Proposed Method
		5.3 Design Flow of Proposed Method
	6 Results and Evaluation
	7 Conclusion and Future Scope
	References
Cyberbullying Detection in Native Languages
	1 Introduction
	2 Background
	3 Related Works
	4 Methodology
	5 Algorithms and Techniques
	6 Implementation
	7 Experimental Results
	8 Conclusion
	References
Intrusion Detection Framework Using an Improved Deep Reinforcement Learning Technique for IoT Network
	1 Introduction
	2 Related Work
	3 Proposed Framework for Intrusion Detection Using an Improved Deep Reinforcement Model
		3.1 Data Pre-processing
		3.2 Description of Proposed Deep Reinforcement Learning-Based IDS for IoT Network
		3.3 Algorithm for Proposed DRL Framework
	4 Result Analysis and Discussion
		4.1 Description of Dataset
		4.2 Description of Evaluation Metrics
		4.3 Results Analysis
	5 Conclusion
	References
A Survey of Data Mining Techniques in the Field of Cyborg Mining
	1 Introduction
	2 Cyborg Mining Preliminary
		2.1 Definition of Cyborg Mining
		2.2 Use of Cyborg Mining
		2.3 Challenges of Cyborg Mining
	3 Review Details
		3.1 Bots in Internet Chat [1]
		3.2 Bots in Twitter [2]
		3.3 Dynamic Image-Based CAPTCHA [3]
		3.4 Detecting Automation of Twitter Accounts [4]
		3.5 Predicting Susceptibility to Social Bots [5]
		3.6 Adult Account Detection on Twitter [16]
		3.7 Detecting Jihadist Messages on Twitter [6]
		3.8 Detecting Real-World Influence Through Twitter [7]
		3.9 Labeling Automated and Non-automated Social Media Accounts [8]
		3.10 Recent Progress and Future Directions in Cyborg [13]
		3.11 Twitter Bot Detection via Warped Correlation [9]
		3.12 Bot Detection and Stance Classification in Twitter [17]
		3.13 Protecting the Privacy of Social Media Users [20]
		3.14 Privacy Preserving Text Mining [23]
		3.15 Human Versus Bots Reaction to Deceptive and Trusted News Sources [14]
		3.16 Automatic Chatting Influence in Twitter [10]
		3.17 Twitter Influencers or Cheated Buyers [18]
		3.18 End-To-End Compromised Account Detection [21]
		3.19 Fake Account Identification in Social Networks [24]
		3.20 Impact of Malicious Accounts on Political Tweet Sentiment [11]
		3.21 Compromised Account Detection on Twitter [15]
		3.22 Identifying Spoofing Accounts on Twitter [12]
		3.23 Analyzing the Digital Traces of Political Manipulation [19]
		3.24 Interactive Refactoring Documentation Bot [22]
		3.25 Twitter Bot Detection Using Neural Networks and Word Embeddings [25]
	4 Conclusion
	References
BDFN: A Bilingual Model to Detect Online Fake News Using Machine Learning Technique
	1 Introduction
	2 Motivation
	3 Contribution of Our Work
	4 Related Literature Review
	5 Diagram/Overview of Framework
		5.1 Dataset Preparing
		5.2 Data Preprocessing
		5.3 Feature Extraction
	6 Experimental Setup
		6.1 Dataset
		6.2 Experiments Procedure
		6.3 Evaluation Metrics
	7 Results and Analysis
	8 Conclusion
	References
Deep Learning Framework for Lung Disease Prognosis Using X-Ray Image
	1 Introduction
	2 Proposed System
	3 Architecture
	4 Experimental Analysis
		4.1 Dataset
		4.2 Experimental Setup
	5 Results
	6 Discussion
	7 Conclusion
	References
Combined PCA–Segmentation Method: An Efficient Technique for Covered Face Recognition
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Data Set
		3.2 Method
	4 Result and Discussion
		4.1 Result
		4.2 Discussion
	5 Conclusions
	References
Recent Advances in Transform and Hybrid Domain Digital Watermarking Techniques—A Survey
	1 Introduction
		1.1 Characteristics of a General Watermarking System
		1.2 Categorization of Digital Watermarking Techniques
		1.3 Types of Watermarking Attacks
		1.4 Performance Measurement in Watermarking System
	2 Survey of Different Watermarking Schemes
		2.1 Transform Domain Watermarking Schemes
		2.2 Hybrid Domain Watermarking Schemes
	3 Discussion on Research Challenges and Opportunities in the Area of Digital Watermarking
	4 Conclusion
	References
Improved Genetic Algorithm Using Machine Learning Approaches to Feature Modelled for Microarray Gene Data
	1 Introduction
	2 Literature Survey
	3 Existing Model
		3.1 Correlation with PSO
		3.2 Extreme Learning Classifier
	4 Proposed Design Using Hybrid Approach
		4.1 Design Procedure
		4.2 Algorithms
	5 Results and Discussions
	6 Accuracy
	7 Conclusion
	References
Improved Image Enhancement of Natural Images with Median Mean-Based Sub-Image Clipped Histogram Equalization
	1 Introduction
	2 Proposed Method
		2.1 Obtaining Energy Curve
		2.2 Calculation of Median and Mean Values
		2.3 Clipping of Energy Curve
		2.4 Partitioning, Equalization, and Merging of Image
	3 Simulation Results
		3.1 Quantitative Assessment
		3.2 Qualitative Assessment
	4 Conclusion
	References
Detection of DDoS Attack Using Ensemble Machine Learning Techniques
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Data Selection
		3.2 Data Preprocessing
		3.3 Splitting Data and Feature Extraction
	4 Implementation and Results
	5 Conclusion and Future Work
	References
Cyberbullying Detection and Prevention Using Artificial Intelligence
	1 Introduction
	2 Literature Survey
	3 BLSTM-Based Deep Learning Model
		3.1 System Architecture
		3.2 Preprocessing
		3.3 Sentiment Extraction
		3.4 Decision Making
	4 Analysis and Observations
		4.1 Definition
		4.2 Effect of Rapid Changes in Culture
		4.3 Language Dynamics
	5 Future Scope
	6 Conclusion
	References
Location Prediction on Twitter Using Hybrid Model
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Data Collection
		3.2 Preprocessing
		3.3 Feature Extraction
		3.4 Machine Learning Algorithm
	4 Experimental Results
		4.1 Dataset Description
		4.2 Performance Metrics
		4.3 Results
	5 Conclusıon and Future Work
	References
Investigation of SAC-OCDMA FSO System Performance Under Fog Attenuation Conditions Using DW-ZCC Code
	1 Introduction
	2 FSO Link and Fog Attenuation
		2.1 Fog Attenuation
	3 DW-ZCC Code Constructions
	4 SAC-OCDMA FSO System Description
	5 Performance Analysis and Simulation Results
	6 Conclusion
	References
An Approach to Predict the Location of Crime Using Machine Learning
	1 Introduction
	2 Related Work
	3 Material and Methods
	4 Results and Discussion
		4.1 Crime Pattern Analysis
		4.2 Crime Location Prediction
	5 Conclusions
	References
Privacy-Preserving in Fingerprint Templates Security Using Combinatorial Logic Circuits
	1 Introduction
	2 Literature Survey
	3 Proposed System
		3.1 Problem Statement
		3.2 Proposed Work
		3.3 Customizing Inputs Module
		3.4 Combinatorial Logic Circuit
		3.5 Disk Scheduling Based Security
	4 Experimental Evaluation
		4.1 Bits Swapping
		4.2 XOR Operation
		4.3 Taking Complements
		4.4 Shifting Operation
		4.5 Combinatorial Logic Circuit
		4.6 User-Defined Disk Scheduling Algorithm
	5 Conclusion
	References
Author Index