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Applied Cryptography and Network Security Workshops

Overview of attention for book
Applied Cryptography and Network Security Workshops
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 An End-to-End Secure Solution for IoMT Data Exchange
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    Chapter 2 EasyLog: An Efficient Kernel Logging Service for Machine Learning
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    Chapter 3 LM-cAPI:A Lite Model Based on API Core Semantic Information for Malware Classification
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    Chapter 4 Acki Nacki: A Probabilistic Proof-of-Stake Consensus Protocol with Fast Finality and Parallelisation
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    Chapter 5 FPGA Implementation of Physically Unclonable Functions Based on Multi-threshold Delay Time Measurement Method to Mitigate Modeling Attacks
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    Chapter 6 Incorporating Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-Based Side-Channel Attacks
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    Chapter 7 Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack
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    Chapter 8 Diversity Algorithms for Laser Fault Injection
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    Chapter 9 One for All, All for Ascon: Ensemble-Based Deep Learning Side-Channel Analysis
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    Chapter 10 CNN Architecture Extraction on Edge GPU
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    Chapter 11 Harnessing the Power of General-Purpose LLMs in Hardware Trojan Design
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    Chapter 12 Everything All at Once: Deep Learning Side-Channel Analysis Optimization Framework
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    Chapter 13 Device Fingerprinting in a Smart Grid CPS
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    Chapter 14 Power Quality Forecasting of Microgrids Using Adaptive Privacy-Preserving Machine Learning
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    Chapter 15 Evaluation of Lightweight Machine Learning-Based NIDS Techniques for Industrial IoT
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    Chapter 16 Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures
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    Chapter 17 Towards Discovering Quantum-Threats for Applications Using Open-Source Libraries
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    Chapter 18 Pushing AES-256-GCM to Limits: Design, Implementation and Real FPGA Tests
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    Chapter 19 Automated Generation of Masked Nonlinear Components:
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    Chapter 20 A Command-Activated Hardware Trojan Detection Method Based on LUNAR Framework
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    Chapter 21 Cross-Correlation Based Trace Segmentation for Clustering Power Analysis on Public Key Cryptosystems
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    Chapter 22 Fully Hybrid TLSv1.3 in WolfSSL on Cortex-M4
Attention for Chapter 7: Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack
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Chapter title
Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack
Chapter number 7
Book title
Applied Cryptography and Network Security Workshops
Published by
Springer, Cham, January 2024
DOI 10.1007/978-3-031-61486-6_7
Book ISBNs
978-3-03-161485-9, 978-3-03-161486-6
Authors

Yap, Trevor, Jap, Dirmanto

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