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Cryptology and Network Security with Machine Learning

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Cover of 'Cryptology and Network Security with Machine Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Role and Applications of Emerging Technologies in Smart City Architecture
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    Chapter 2 A Review on Blockchain-Based Electronic Health Record (EHR) System for Secure Data Storage
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    Chapter 4 Key-Insulated Aggregate Proxy Signature
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    Chapter 5 A Comprehensive Study of Cryptocurrency Trend Analysis Based on a Novel Machine Learning Technique
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    Chapter 6 Flaws of a Password-Based Three-Party Authenticated Key Agreement Protocol in Post-quantum Environment
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    Chapter 7 Multivariate Aggregate and Multi-signature Scheme
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    Chapter 8 Optical Network Modeling and Performance Using Random Graph Theory
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    Chapter 9 A Survey on Recent Progress in Blockchain Technology
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    Chapter 10 Cryptanalysis of Lattice-Based Threshold Changeable Multi-secret Sharing Scheme
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    Chapter 11 Amazon Web Service IOT and Authentication of Edge Devices
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    Chapter 12 On Picture Fuzzy Information-Based Hybrid Cryptographic TOPSIS Approach for Best Suitable Cloud Storage and Security Level
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    Chapter 13 Network Layer Performance of Hybrid Buffer-Based Optical Router
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    Chapter 14 Efficient and Secure Data Aggregation for UAV-to-Ground Station Communication in Smart City Environment
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    Chapter 15 BBIWMS: A Secure Blockchain-Based Framework for Integrated Water Management System for Smart City
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    Chapter 16 An Intelligent Network Intrusion Detection Framework for Reliable UAV-Based Communication
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    Chapter 17 Distributed and Hash-Based Mixers for User Anonymity on Blockchain
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    Chapter 18 Implementation and Analysis of Different Visual Cryptographic Schemes
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    Chapter 19 A New Data Communication Method Using RSA and Steganography
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    Chapter 20 Some Computational Attacks on Threshold Secret-Sharing Scheme by Outside Adversaries
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    Chapter 21 Influence of COVID-19 Pandemic on Digital Payment Market Growth
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    Chapter 22 Two-Level Security of Color Image Using 9D-Hyperchaotic System and DWT
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    Chapter 23 A Novel Approach For Secure Data Aggregation Scheme in Battlefield Surveillance Using Elliptic Curve Cryptography
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    Chapter 24 A Recent Survey of Reversible Data Hiding Techniques for 2D and 3D Object Models
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    Chapter 25 Demystifying Facial Expression Recognition Using Residual Networks
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    Chapter 26 Block Farm: Blockchain-Based Platform for the Agriculture Supply Chain
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    Chapter 27 A Lattice-Based Key Exchange Protocol Over NTRU-NIP
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    Chapter 28 Blockchain Within the Insurance Industry: A Bibliometric Analysis
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    Chapter 30 Prediction of Covid-19 Using Artificial Intelligence [AI] Applications
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    Chapter 31 A New Authentication Protocol for RFID and Applications in E-Passport
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    Chapter 32 Comprehensive Survey on AQI Prediction Using Machine Learning Algorithms
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    Chapter 33 Ransomware 3.0—A Weapon for Next-Generation Information Warfare
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    Chapter 34 Securing Transmission of Medical Images Using Cryptography Steganography and Watermarking Technique
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    Chapter 35 New Commitment-Based Client–Server Key Establishment Protocol
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    Chapter 36 Role of Virtualization in Secure Network
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    Chapter 37 Blockchain-Based NFT for Evidence System
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    Chapter 38 Securing Digital Audio Files Using Rotation and XOR Operations
Attention for Chapter 5: A Comprehensive Study of Cryptocurrency Trend Analysis Based on a Novel Machine Learning Technique
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Chapter title
A Comprehensive Study of Cryptocurrency Trend Analysis Based on a Novel Machine Learning Technique
Chapter number 5
Book title
Cryptology and Network Security with Machine Learning
Published by
Springer, Singapore, January 2024
DOI 10.1007/978-981-99-2229-1_5
Book ISBNs
978-9-81-992228-4, 978-9-81-992229-1
Authors

Sharma, Paras, Gupta, Adhiraj, Kumar Bajaj, Rakesh, Thakral, Prateek

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