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Advances in Cyber Security

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Cover of 'Advances in Cyber Security'

Table of Contents

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    Book Overview
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    Chapter 1 Improving the Authenticity of Real Estate Land Transaction Data Using Blockchain-Based Security Scheme
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    Chapter 2 Proof-of-Work Difficulty Readjustment with Genetic Algorithm
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    Chapter 3 Multi-factor Authentication for an Administrator's Devices in an IoT Environment
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    Chapter 4 Software Defined Networks Centered Group Based Access Control Service for Internet of Things Applications
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    Chapter 5 A Labeled Transactions-Based Dataset on the Ethereum Network
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    Chapter 6 ID-PPA: Robust Identity-Based Privacy-Preserving Authentication Scheme for a Vehicular Ad-Hoc Network
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    Chapter 7 Internet of Things Security: A Survey
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    Chapter 8 DDoS Attack Detection in IoT Networks Using Deep Learning Models Combined with Random Forest as Feature Selector
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    Chapter 9 Face-Based Graphical Authentication System Using Hybrid Images
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    Chapter 10 A Tele Encephalopathy Diagnosis Based on EEG Signal Compression and Encryption
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    Chapter 11 Pilot Evaluation of BlindLoginV2 Graphical Password System for the Blind and Visually Impaired
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    Chapter 12 Evaluating Pairing-Free Identity-Based Identification Using Curve25519
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    Chapter 13 Modifications of Key Schedule Algorithm on RECTANGLE Block Cipher
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    Chapter 14 Blockchain-Based Content Sharing and Data Repository System
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    Chapter 15 The Impact of Elliptic Curves Name Selection to Session Initiation Protocol Server
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    Chapter 16 A Novel Approach of Text Encryption Using Random Numbers and Hash Table
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    Chapter 17 A State of the Art Survey and Research Directions on Blockchain Based Electronic Voting System
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    Chapter 18 Security in IoT: Threats and Vulnerabilities, Layered Architecture, Encryption Mechanisms, Challenges and Solutions
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    Chapter 19 SMOTE-Based Framework for IoT Botnet Attack Detection
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    Chapter 20 People, Process and Technology for Cryptocurrencies Forensics: A Malaysia Case Study
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    Chapter 21 A Comparison of Three Machine Learning Algorithms in the Classification of Network Intrusion
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    Chapter 22 Malware Detection in Word Documents Using Machine Learning
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    Chapter 23 A Performance Study of a Modified Grey Network Traffic Prediction Mechanism
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    Chapter 24 A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction
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    Chapter 25 Rank Aggregation Based Multi-filter Feature Selection Method for Software Defect Prediction
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    Chapter 26 Metaheuristic Based IDS Using Multi-objective Wrapper Feature Selection and Neural Network Classification
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    Chapter 27 An Integrated Model to Email Spam Classification Using an Enhanced Grasshopper Optimization Algorithm to Train a Multilayer Perceptron Neural Network
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    Chapter 28 Spam Classification Based on Supervised Learning Using Grasshopper Optimization Algorithm and Artificial Neural Network
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    Chapter 29 Rule-Based SLAAC Attack Detection Mechanism
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    Chapter 30 Static Ransomware Analysis Using Machine Learning and Deep Learning Models
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    Chapter 31 Finger Vein Presentation Attack Detection with Optimized LBP Variants
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    Chapter 32 The Importance of IDS and IPS in Cloud Computing Environment: Intensive Review and Future Directions
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    Chapter 33 Towards Understanding the Challenges of Data Remanence in Cloud Computing: A Review
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    Chapter 34 Big Data Analytics: Schizophrenia Prediction on Apache Spark
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    Chapter 35 Comparing Network Resilience Against Distributed-Denial-of-Service (DDoS) on the Cloud
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    Chapter 36 Study of Container-Based Virtualisation and Threats in Fog Computing
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    Chapter 37 A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets
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    Chapter 38 Protecting Data by Improving the Performance of Controlling Expansion Method
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    Chapter 39 Proposed Efficient Conditional Privacy-Preserving Authentication Scheme for V2V and V2I Communications Based on Elliptic Curve Cryptography in Vehicular Ad Hoc Networks
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    Chapter 40 Compromising the Data Integrity of an Electrical Power Grid SCADA System
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    Chapter 41 Ensemble-Based Logistic Model Trees for Website Phishing Detection
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    Chapter 42 Evolving Rules for Detecting Cross-Site Scripting Attacks Using Genetic Programming
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    Chapter 43 A Review on Social Media Phishing: Factors and Countermeasures
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    Chapter 44 Protecting Data Privacy and Prevent Fake News and Deepfakes in Social Media via Blockchain Technology
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    Chapter 45 A Review on Detection of Cross-Site Scripting Attacks (XSS) in Web Security
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    Chapter 46 Proposal for Physiological-Resilience Usability Model in Security-Enhanced Mobile Application for Secure Travel
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Title
Advances in Cyber Security
Published by
Springer Singapore, January 2021
DOI 10.1007/978-981-33-6835-4
ISBNs
978-9-81-336834-7, 978-9-81-336835-4
Editors

Mohammed Anbar, Nibras Abdullah, Selvakumar Manickam

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