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E-grāmata: Applied Cryptography and Network Security Workshops: ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Abu Dhabi, United Arab Emirates, March 5-8, 2024, Proceedings, Part I

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  • Sērija : Lecture Notes in Computer Science 14586
  • Izdošanas datums: 23-Jun-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031614866
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Applied Cryptography and Network Security Workshops: ACNS 2024 Satellite Workshops, AIBlock, AIHWS, AIoTS, SCI, AAC, SiMLA, LLE, and CIMSS, Abu Dhabi, United Arab Emirates, March 5-8, 2024, Proceedings, Part IPalielināt
  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 14586
  • Izdošanas datums: 23-Jun-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031614866
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This two-volume set LNCS 14586-14587 constitutes the proceedings of eight Satellite Workshops held in parallel with the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024, held in Abhu Dabhi, United Arab Emirates, during March 5-8, 2024.





The 33 full papers and 11 poster papers presented in this volume were carefully reviewed and selected from 62 submissions. They stem from the following workshops:





6th ACNS Workshop on Application Intelligence and Blockchain Security (AIBlock 2024).





5th ACNS Workshop on Artificial Intelligence in Hardware Security (AIHWS 2024).





6th ACNS Workshop on Artificial Intelligence and Industrial IoT Security (AIoTS 2024).





5th ACNS Workshop on Secure Cryptographic Implementation (SCI 2024).





1st Workshop on Advances in Asymmetric Cryptanalysis (AAC 2024).





6th ACNS Workshop on Security in Machine Learning and its Applications (SiMLA 2024).





1st Workshop on Low-Latency Encryption (LLE 2024).





4th ACNS Workshop on Critical Infrastructure and Manufacturing System Security (CIMSS 2024).
AIBlock Application Intelligence and Blockchain Security: An
End-to-End Secure Solution for IoMT Data Exchange.- EasyLog: An Effcient
Kernel Logging Service for Machine Learning.- LM-cAPI:A Lite Model based on
API Core Semantic Information for Malware Classification.- ACKI NACKI: a
Probabilistic Proof-of-Stake consensus protocol with fast finality and
parallelization. AIHWS Artificial Intelligence in Hardware Security: FPGA
Implementation of Physically Unclonable Functions based on Multi-threshold
Delay Time Measurement Method to Mitigate Modeling Attacks.- Incorporating
Cluster Analysis of Feature Vectors for Non-profiled Deep-learning-based
Side-channel Attacks.- Creating from Noise: Trace Generations Using Diffusion
Model for Side-Channel Attacks.- Diversity Algorithms for Laser Fault
Injection.- One for All, All for Ascon: Ensemble-based Deep Learning
Side-channel Analysis.- CNN architecture extraction on edge GPU.- Harnessing
the Power of LLMs in Hardware Trojan Design.- Everything All At Once: Deep
Learning Side-Channel Analysis Optimization Framework.- AIoTS Artificial
Intelligence and Industrial IoT Security: Device Fingerprinting in a Smart
Grid CPS.- Power Quality Forecasting of Microgrids using Adaptive
Privacy-Preserving Machine Learning.- Evaluation of Lightweight Machine
Learning-based NIDS Techniques for Industrial IoT.- Measuring Cyber
Resilience of IoT-enabled Critical National Infrastructure.- SCI Secure
Cryptographic Implementation: Towards Discovering Quantum-Threats for
Applications using Open-Source Libraries.- Pushing AES-256-GCM to Limits:
Design, Implementation and Real FPGA Tests.- Automated Generation of Masked
Nonlinear Components: From Lookup Tables to Private Circuits.- A
Command-Activated Hardware Trojan Detection Method Based on LU-NAR
Framework.- Cross-Correlation Based Trace Segmentation for Clustering Power
Analysis on Public Key Cryptosystems.- Fully Hybrid TLSv1.3 in WolfSSL on
Cortex-M4.
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