M-SRS: Secure and Trustworthy Mobile Service Review System Based on Mobile Cloudlet

The scope of services has skyrocketed to such an extent that it is necessary for the service consumers to quickly understand the quality of a service provided by different vendors through Service Review Systems (SRS). In this paper, we consider the trustworthyness of a SRS without a trusted review management center in location-based Service-oriented Mobile Social Networks (S-MSNs). Firstly, we broach some review statistic modification attacks, which are very important for service consumers to review a service. Secondly, the M-SRS network model based on Mobile Cloud Computing (MCC) is constructed, which could protect the security and reduce the communication and computation overhead. Also, data entanglement and verifiable service utilization tickets are adopted to prevent proposed attacks in existing SRS and guarantee the trustworthyness of the statistic SRS. Final results show that M-SRS could effectively resist the existing service review attacks, and it is efficient in terms of review submission and review authenticity verification for the whole system.