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Enabling efficient publicly verifiable outsourcing computation for matrix multiplication

Version 2 2024-06-06, 03:04
Version 1 2016-06-23, 14:29
conference contribution
posted on 2024-06-06, 03:04 authored by H Li, S Zhang, H Luan, H Ren, Y Dai, L Zhou
Outsourcing heavy computational tasks to remote cloud server, which accordingly significantly reduce the computational burden at the end hosts, represents an effective and practical approach towards extensive and scalable mobile applications and has drawn increasing attention in recent years. However, due to the limited processing power of the end hosts yet the keen privacy concerns on the outsourced data, it is vital to ensure both the efficiency and security of the outsourcing computation in the cloud computing. In this paper, we address the issue by developing a publicly verifiable outsourcing computation proposal. In particular, considering a large amount of applications of matrix multiplication in large datasets and image processing, we propose a publicly verifiable outsourcing computation scheme for matrix multiplication in the amortized model. Security analysis demonstrates that the proposed scheme is provable secure by blinding input and output in a simple way. By comparing the developed scheme with existing proposals, we show that our proposal is more efficient in terms of functionality, as well as the computation, communication and storage overhead.

History

Pagination

44-50

Location

Sydney, N.S.W.

Start date

2015-11-18

End date

2015-11-20

ISBN-13

9781467393485

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2015, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

ITNAC 2015: Proceedings of the International Telecommunication Networks and Applications 2015 Conference

Event

International Telecommunication Networks and Applications. Conference (25th : 2015 : Sydney, N.S.W.)

Publisher

IEEE

Place of publication

Piscataway, N.J.