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Cyber Security, Cryptology, and Machine Learning

Overview of attention for book
Cover of 'Cyber Security, Cryptology, and Machine Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Localhost Detour from Public to Private Networks
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    Chapter 2 Pseudo-random Walk on Ideals: Practical Speed-Up in Relation Collection for Class Group Computation
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    Chapter 3 Efficient Extended GCD and Class Groups from Secure Integer Arithmetic
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    Chapter 4 On Distributed Randomness Generation in Blockchains
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    Chapter 5 Efficient Skip Connections Realization for Secure Inference on Encrypted Data
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    Chapter 6 Single Instance Self–masking via Permutations
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    Chapter 7 A Fusion-Based Framework for Unsupervised Single Image Super-Resolution
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    Chapter 8 Generating One-Hot Maps Under Encryption
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    Chapter 9 Building Blocks for LSTM Homomorphic Evaluation with TFHE
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    Chapter 10 CANdito: Improving Payload-Based Detection of Attacks on Controller Area Networks
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    Chapter 11 Using Machine Learning Models for Earthquake Magnitude Prediction in California, Japan, and Israel
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    Chapter 12 A Bag of Tokens Neural Network to Predict Webpage Age
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    Chapter 13 Correlations Between (Nonlinear) Combiners of Input and Output of Random Functions and Permutations
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    Chapter 14 PPAuth: A Privacy-Preserving Framework for Authentication of Digital Image
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    Chapter 15 Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO
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    Chapter 16 The Use of Performance-Countersto Perform Side-Channel Attacks
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    Chapter 17 HAMLET: A Transformer Based Approach for Money Laundering Detection
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    Chapter 18 Hollow-Pass: A Dual-View Pattern Password Against Shoulder-Surfing Attacks
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    Chapter 19 Practical Improvements on BKZ Algorithm
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    Chapter 20 Enhancing Ransomware Classification with Multi-stage Feature Selection and Data Imbalance Correction
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    Chapter 21 A Desynchronization-Based Countermeasure Against Side-Channel Analysis of Neural Networks
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    Chapter 22 New Approach for Sine and Cosine in Secure Fixed-Point Arithmetic
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    Chapter 23 How Hardened is Your Hardware? Guiding ChatGPT to Generate Secure Hardware Resistant to CWEs
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    Chapter 24 Evaluating the Robustness of Automotive Intrusion Detection Systems Against Evasion Attacks
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    Chapter 25 On Adaptively Secure Prefix Encryption Under LWE
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    Chapter 26 SigML: Supervised Log Anomaly with Fully Homomorphic Encryption
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    Chapter 27 HBSS: (Simple) Hash-Based Stateless Signatures – Hash All the Way to the Rescue!
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    Chapter 28 Improving Performance in Space-Hard Algorithms
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    Chapter 29 A Survey of Security Challenges in Automatic Identification System (AIS) Protocol
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    Chapter 30 A New Interpretation for the GHASH Authenticator of AES-GCM
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    Chapter 31 Fast ORAM with Server-Aided Preprocessing and Pragmatic Privacy-Efficiency Trade-Off
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    Chapter 32 Improving Physical Layer Security of Ground Stations Against GEO Satellite Spoofing Attacks
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    Chapter 33 Midgame Attacks and Defense Against Them
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    Chapter 34 Deep Neural Networks for Encrypted Inference with TFHE
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    Chapter 35 On the Existence of Highly Organized Communities in Networks of Locally Interacting Agents
  37. Altmetric Badge
    Chapter 36 Patch or Exploit? NVD Assisted Classification of Vulnerability-Related GitHub Pages
Attention for Chapter 17: HAMLET: A Transformer Based Approach for Money Laundering Detection
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Chapter title
HAMLET: A Transformer Based Approach for Money Laundering Detection
Chapter number 17
Book title
Cyber Security, Cryptology, and Machine Learning
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-34671-2_17
Book ISBNs
978-3-03-134670-5, 978-3-03-134671-2
Authors

Tatulli, Maria Paola, Paladini, Tommaso, D’Onghia, Mario, Carminati, Michele, Zanero, Stefano

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Computer Science 1 17%
Economics, Econometrics and Finance 1 17%
Unknown 3 50%

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