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Title: Incentive mechanism-based influential maximisation scheme for social cloud service networks

Authors: Sungwook Kim

Addresses: Department of Computer Science, Sogang University, 35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, 121-742, South Korea

Abstract: The integration of social network services (SNS) and cloud computing (CC) is a technological revolution that presents the future of connectivity and reachability. This paper explores the novel paradigm for future internet of things (IoT). Although there have been some studies in social-driven IoT, they merely consider the CC technique to improve service qualities and influences. In this study, we develop a novel social cloud control scheme based on the incentive mechanism (IM) approach. To maximise the total SNS system performance, SNSs have been adaptively executed in the CC system while taking into account the social welfare. In addition, we protect each user's privacy according to the differential privacy (DP) method. Therefore, our study can capture the properties of SNS and CC, and provides an effective solution for the social cloud system while ensuring privacy. The experimental results demonstrate the efficiency and effectiveness of the proposed scheme.

Keywords: social network services; SNS; social cloud computing; influential maximisation; incentive mechanism; differential privacy.

DOI: 10.1504/IJAHUC.2020.104709

International Journal of Ad Hoc and Ubiquitous Computing, 2020 Vol.33 No.1, pp.11 - 21

Accepted: 19 Nov 2018
Published online: 28 Jan 2020 *

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