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International Conference on Cyber Security, Privacy and Networking (ICSPN 2022)

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International Conference on Cyber Security, Privacy and Networking (ICSPN 2022)
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Data Mining Techniques for Intrusion Detection on the Internet of Things Field
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    Chapter 2 Detecting Rumors Transformed from Hong Kong Copypasta
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    Chapter 3 Predictive Model Building for Pain Intensity Using Machine Learning Approach
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    Chapter 4 Analysis of N-Way K-Shot Malware Detection Using Few-Shot Learning
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    Chapter 5 Efficient Feature Selection Approach for Detection of Phishing URL of COVID-19 Era
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    Chapter 6 Optimal Feature Selection to Improve Vehicular Network Lifetime
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    Chapter 7 Machine Learning Based Two-Tier Security Mechanism for IoT Devices Against DDoS Attacks
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    Chapter 8 An Analysis of Machine Learning Algorithms for Smart Healthcare Systems
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    Chapter 9 Blockchains and Cross-Blockchains: Privacy-Preserving Techniques
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    Chapter 10 A Hybrid Approach for Protection Against Rumours in a IoT Enabled Smart City Environment
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    Chapter 11 ImmuneGAN: Bio-inspired Artificial Immune System to Secure IoT Ecosystem
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    Chapter 12 A Systematic Review of Recommendation System Based on Deep Learning Methods
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    Chapter 13 COVID-19 Patient Recovery Prediction Using Efficient Logistic Regression Model
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    Chapter 14 Ensemble Feature Selection for Multi-label Classification: A Rank Aggregation Method
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    Chapter 15 Fire Neutralizing ROBOT with Night Vision Camera Under IoT Framework
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    Chapter 16 Multi-dimensional Hybrid Bayesian Belief Network Based Approach for APT Malware Detection in Various Systems
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    Chapter 17 Software Quality Attributes Assessment and Prioritization Using Evidential Reasoning (ER) Approach *
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    Chapter 18 Analysis of Digital Twin Based Systems for Asset Management on Various Computing Platforms
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    Chapter 19 IoT Data Validation Using Blockchain and Dedicated Cloud Platforms
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    Chapter 20 Security on Social Media Platform Using Private Blockchain
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    Chapter 21 Plant Disease Detection using Image Processing
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    Chapter 22 A Deep Learning Based Approach to Perform Fingerprint Matching
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    Chapter 23 Convolutional Neural Network and Deep One-Class Support Vector Machine with Imbalanced Dataset for Anomaly Network Traffic Detection
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    Chapter 24 A Comprehensive Comparative Study of Machine Learning Classifiers for Spam Filtering
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    Chapter 25 A Novel Approach for Social Media Content Filtering Using Machine Learning Technique
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    Chapter 26 A Comprehensive Review on Automatic Detection and Early Prediction of Tomato Diseases and Pests Control Based on Leaf/Fruit Images
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    Chapter 27 Big Data and Deep Learning with Case Study: An Empirical Stock Market Analysis
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    Chapter 28 Automated Machine Learning (AutoML): The Future of Computational Intelligence
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    Chapter 29 Semi-supervised Federated Learning Based Sentiment Analysis Technique Across Geographical Region
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    Chapter 30 Sustainable Framework for Metaverse Security and Privacy: Opportunities and Challenges
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    Chapter 31 Email Spam Detection Using Naive Bayes and Random Forest Classifiers
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    Chapter 32 A Proposed Darknet Traffic Classification System Based on Max Voting Algorithms
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    Chapter 33 Role of Artificial Intelligence in Agriculture—A Paradigm Shift
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    Chapter 34 A Novel Attack Detection Technique to Protect AR-Based IoT Devices from DDoS Attacks
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    Chapter 36 Application of Artificial Neural Network (ANN) in the Estimation of Financial Ratios: A Model
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    Chapter 37 GAN-Based Unsupervised Learning Approach to Generate and Detect Fake News
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    Chapter 38 Metaverse: A New Tool for Real-Time Monitoring of Dynamic Circumstances in the Physical Production System
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    Chapter 39 Security of Android Banking Mobile Apps: Challenges and Opportunities
Attention for Chapter 3: Predictive Model Building for Pain Intensity Using Machine Learning Approach
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