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

• Published in: Concurrency and computation Vol. 34; no. 16
• Main Authors: Li, Fengyin, Ge, Rui, Zhou, Huiyu, Wang, Yilei, Liu, Zhongxing, Yu, Xiaomei
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 25.07.2022
• Subjects: Agglomeration; aggregation signature; Cybersecurity; Delay time; Digital signatures; Internet of Things; service comment attacks; service evaluation; Synchronism; synchronization token
• ISSN: 1532-0626; 1532-0634
• DOI: 10.1002/cpe.5739

Summary 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.