Paper Info
Title
Tesia: A trusted efficient service evaluation model in Internet of things based on improved aggregation signature
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.
Year
DOI
Venue
2022
10.1002/cpe.5739
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
aggregation signature, Internet of things, service comment attacks, service evaluation, synchronization token
Journal
34
Issue
ISSN
Citations 
16
1532-0626
2
PageRank 
References 
Authors
0.37
0
6
Name
Order
Citations
PageRank
Fengyin Li121.05
Rui Ge220.71
Huiyu Zhou31303111.91
Yilei Wang414429.62
Zhongxing Liu520.71
Xiaomei Yu6144.01