Version 2 2020-04-16, 16:09Version 2 2020-04-16, 16:09
Version 1 2020-04-16, 09:36Version 1 2020-04-16, 09:36
journal contribution
posted on 2020-04-16, 16:09authored byF Li, R Ge, Huiyu Zhou, Y Wang, Z Liu, Xiaomei Yu
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.
Funding
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).
History
Citation
Concurrency and Computation: Practice and Experience, 2020, e5739
Author affiliation
School of Informatics
Version
AM (Accepted Manuscript)
Published in
Concurrency and Computation: Practice and Experience