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| Link zu diesem Datensatz | https://d-nb.info/1333803206 |
| Titel | 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 / edited by Martin Andreoni |
| Person(en) | Andreoni, Martin (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXI, 399 p. 166 illus., 137 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-61485-9 Printed edition:: ISBN: 978-3-031-61487-3 |
| Inhalt | 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2406240406321.605298071844 DOI: 10.1007/978-3-031-61486-6 |
| URL | https://doi.org/10.1007/978-3-031-61486-6 |
| ISBN/Einband/Preis | 978-3-031-61486-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 14586 |
| DDC-Notation | 005.8 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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