@inbook{ab95c693f8c841ff9a22d759b2549f4d,
title = "Heterogeneous Data Access Control based on Trust and Reputation in Mobile Cloud Computing",
abstract = "Cloud computing, as an emerging computing paradigm for service provision on-demand, has blossomed into both academia and industry. One typical cloud service is cloud data storage and processing. By stepping into the era of 5G, Mobile Cloud Computing (MCC) becomes a perfect match to further leverage the limitations of resources and locations for advanced networking services. However, adopting mobile cloud implies placing critical applications and sensitive data in Cloud Service Providers (CSPs) and accessing them with mobile devices. This leads to serious security and usability issues, particularly on cloud data access control. In this chapter, we explore the objectives of data access control in MCC. Based on a literature review, we summarize open research issues in this area. In order to achieve secure and usable cloud data access, we adopt trust and reputation management and investigate three schemes for securing cloud data access based on trust and reputation that can be flexibly applied in different cloud data access scenarios. Furthermore, we evaluate the performance of the schemes through the analysis on security, complexity, scalability and flexibility, as well as scheme implementation. Particularly, important issues and challenges are also discussed in order to propose future research trends.",
keywords = "mobile cloud computing, access control, security, privacxy, trust, reputation, 5G",
author = "Zheng Yan and Xueyun Li and Raimo Kantola",
year = "2016",
doi = "10.1007/978-3-319-45145-9_4",
language = "English",
isbn = "978-3-319-45143-5",
series = "Studies in Big Data",
publisher = "Springer",
pages = "65--113",
editor = "Constandinos Mavromoustakis and George Mastorakis and Ciprian Dobre",
booktitle = "Advances in Mobile Cloud Computing and Big Data under the 5G Era",
address = "Germany",
}