Blockchain framework for managing machine-learning models for 3D object detection

被引：0

作者：

Tsuruta, Yoshiki ^{[1
]}

Akiyama, Kuon ^{[1
]}

Shinkuma, Ryoichi ^{[1
]}

Mine, Aramu ^{[2
]}

机构：

[1] Shibaura Inst Technol, Tokyo, Japan

[2] GaiaX Co Ltd, Tokyo, Japan

来源：

2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2023年

关键词：

blockchain; smart monitoring; machine learning model;

D O I：

10.1109/CCNC51644.2023.10060161

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Smart monitoring plays an important role in securing people's safety in smart cities. In smart monitoring, machine-learning (ML) models are used for detecting objects in the environment, such as pedestrians and vehicles. Such ML models need to be securely managed against malicious attacks, such as tampering. This paper proposes a blockchain framework for securely managing ML models. It demonstrates the performance of a prototype of the proposed framework.

引用

页数：2

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