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Cyber Security, Cryptology, and Machine Learning: 7th International Symposium, CSCML 2023, Be'er Sheva, Israel, June 2930, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 524 pages, height x width: 235x155 mm, weight: 819 g, 100 Illustrations, color; 32 Illustrations, black and white; XIV, 524 p. 132 illus., 100 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13914
  • Izdošanas datums: 01-Jun-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303134670X
  • ISBN-13: 9783031346705
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Formāts: Paperback / softback, 524 pages, height x width: 235x155 mm, weight: 819 g, 100 Illustrations, color; 32 Illustrations, black and white; XIV, 524 p. 132 illus., 100 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13914
  • Izdošanas datums: 01-Jun-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303134670X
  • ISBN-13: 9783031346705
This book constitutes the refereed proceedings of the 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, held in Be'er Sheva, Israel, in June 2023.

The 21 full and 15 short papers were carefully reviewed and selected from 70 submissions. They deal with the theory, design, analysis, implementation, and application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

Localhost Detour from Public to Private Networks.- Pseudo-Random Walk on
Ideals: Practical Speed-Up in Relation Collection for Class Group
Computation.- Efficient Extended GCD and Class Groups from Secure Integer
Arithmetic.- On Distributed Randomness Generation in Blockchains.- Efficient
Skip Connections Realization for Secure Inference on Encrypted Data.- Single
Instance Self-Masking via PermutationsA Fusion-Based Framework for
Unsupervised Single Image Super-Resolution.- Generating One-Hot Maps under
EncryptionBuilding blocks for LSTM homomorphic evaluation with
TFHE.- CANdito: Improving Payload-based Detection of Attacks on Controller
Area Networks.- Using Machine Learning Models for Earthquake Magnitude
Prediction in California, Japan and Israel.- A Bag of Tokens Neural Network
to Predict Webpage Age.- Correlations Between (Nonlinear) Combiners of Input
and Output of Random Functions and Permutations (Short Paper).- PPAuth: A
Privacy-Preserving Framework for Authentication of Digital Image.- Robust
Group Testing-Based Multiple-Access Protocol for Massive MIMO.- The use of
Performance-Counters to perform side-channel attacks.- HAMLET: A Transformer
Based Approach for Money Laundering Detection.- Hollow-Pass: A Dual-View
Pattern Password Against Shoulder-Surfing Attacks.- Practical Improvements on
BKZ Algorithm.- Enhancing Ransomware Classification with Multi-Stage Feature
Selection and Data Imbalance Correction.- Short Paper: A
Desynchronization-Based Countermeasure Against Side-Channel Analysis of
Neural Networks.- New Approach for Sine and Cosine in Secure Fixed-Point
Arithmetic.- How Hardened is Your Hardware? Guiding ChatGPT to Generate
Secure Hardware Resistant to CWEs.- Evaluating the Robustness of Automotive
Intrusion Detection Systems against Evasion Attacks.- On adaptively secure
prefix encryption under LWESigML: Supervised Log Anomaly with Fully
Homomorphic Encryption.- HBSS: (Simple) Hash-Based Stateless Signatures --
Hash all the way to the Rescue.- Improving Performance in Space-Hard
Algorithms.- A survey of security challenges in Automatic Identification
System (AIS) Protocol.- A new interpretation for the GHASH authenticator of
AES-GCM.- Fast  ORAM  with Server-aided Preprocessing and Pragmatic
Privacy-Efficiency Trade-off.- Improving Physical Layer Security of Ground
Stations Against GEO Satellite Spoofing Attacks.- Midgame Attacks and Defense
Against Them.- Deep Neural Networks for Encrypted Inference with TFHE.- On
the existence of highly organized communities in networks of locally
interacting agents.- Patch or Exploit? NVD Assisted Classification of
Vulnerability-Related Github Pages.