Tools for Design, Implementation and Verification of Emerging Information Technologies

18th EAI International Conference, TRIDENTCOM 2023, Nanjing, China, November 11-13, 2023, Proceedings

Häftad, Engelska, 2024

Del 523 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

682 kr

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Beskrivning

This book constitutes the refereed post-conference proceedings of the 18th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2023, which was held in Nanjing, China, during November 11-13, 2023.The 9 full papers were selected from 30 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on blockchain and its applications; emerging applications; AI and its security.

Produktinformation

Utgivningsdatum:2024-01-05
Mått:155 x 235 x 11 mm
Vikt:295 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:173
Upplaga:24001
Förlag:Springer International Publishing AG
ISBN:9783031513985

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Blockchain and its applications.- A Novel Cross-Chain Relay Method Based on Node Trust Evaluation.- Collateral-Eﬀicient Instant Contingent Payments: The Promise of A Hardware-Driven Off-Chain Payment System.- Emerging Applications.- A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications.- AI-Driven Sentiment Analysis for Music Composition.- Fault Diagnosis Method for Hydro-Power Plant with Bi-LSTM Knowledge Graph aided by Attention Scheme.- AI and its Security.- Zero-Knowledge with Robust Learning: Mitigating Backdoor Attacks in Federated Learning for Enhanced.- Security and Privacy.- PPAPAFL: A Novel Approach to Privacy Protection and Anti-Poisoning Attacks in Federated Learning.- Towards Retentive Proactive Defense Against DeepFakes.- A Fast and Accurate Non-Interactive Privacy-Preserving Neural Network Inference Framework.