Tesia: A trusted efficient service evaluation model in Internet of things based on improved aggregation signature

Fengyin Li, Rui Ge, Huiyu Zhou, Yilei Wang*, Zhongxing Liu, Xiaomei Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Service evaluation model is an essential ingredient in service-oriented Internet of things (IoT) architecture. Generally, traditional models allow each user to submit their comments with respect to IoT services individually. However, these kind of models are fragile to resist various attacks, like comment denial attacks, and Sybil attacks, which may decrease the comments submission rate. In this article, we propose a new aggregation digital signature scheme to resolve the problem of comments aggregation, which may aggregate different comments into one with high efficiency and security level. Based on the new aggregation digital signature scheme, we further put forward a new service evaluation model named Tesia allowing specific users to submit the comments as a group in IoT networks. More specifically, they aggregate comments and assign one user as a submitter to submit these comments. In addition, we introduce the synchronization token mechanism into the new service evaluation model, to assure that all users in the group may sign their comments one by one, and the last one who receives the token is assigned as the final submitter. Tesia has more acceptable robustness and can greatly improve the comments submission rate with rather lower submission delay time.

Original languageEnglish
Article numbere5739
JournalConcurrency and Computation: Practice and Experience
Early online date24 Mar 2020
DOIs
Publication statusEarly online date - 24 Mar 2020
Externally publishedYes

Bibliographical note

Funding Information:
This study was funded by Foundation of National Natural Science Foundation of China (grant number:61771231, 6150028, 61672321, 61771289, 61832012, 61373027), Natural Science Shandong Province (grant number: ZR2016FM23, ZR2017MF010, ZR2017MF062), Key Research and Development Program of Shandong Province (NO. 2019GGX101025), EU Horizon 2020 DOMINOES Project (Grant Number: 771066).

Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • aggregation signature
  • Internet of things
  • service comment attacks
  • service evaluation
  • synchronization token

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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