Towards Efficient and Secure Data Storage in Multi-tenant Cloud-Based CRM Solutions
J. Vuong, and S. Braun. 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), page 612-617. (December 2015)
DOI: 10.1109/UCC.2015.107
Abstract
Even though enterprises increasingly recognize the benefits of cloud computing, many are still reluctant using cloud-based applications or services like customer relationship management (CRM) solutions due to security and privacy concerns. This article aims at defining a roadmap to derive a holistic framework providing data privacy and security by design in the context of cloud-based multi-tenant CRM systems. As a CRM system developed for SMEs CAS PIA serves as an example for typically occurring data structures and use cases including the innovative concept of user-defined security levels for different data types. We present a scenario and requirements analysis for motivating the need for a suitable user-context-specific security concept and a data and privacy preserving framework.
%0 Conference Paper
%1 7431483
%A Vuong, J.
%A Braun, S.
%B 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)
%D 2015
%K cloud crm privacy security
%P 612-617
%R 10.1109/UCC.2015.107
%T Towards Efficient and Secure Data Storage in Multi-tenant Cloud-Based CRM Solutions
%U http://doi.ieeecomputersociety.org/10.1109/UCC.2015.107
%X Even though enterprises increasingly recognize the benefits of cloud computing, many are still reluctant using cloud-based applications or services like customer relationship management (CRM) solutions due to security and privacy concerns. This article aims at defining a roadmap to derive a holistic framework providing data privacy and security by design in the context of cloud-based multi-tenant CRM systems. As a CRM system developed for SMEs CAS PIA serves as an example for typically occurring data structures and use cases including the innovative concept of user-defined security levels for different data types. We present a scenario and requirements analysis for motivating the need for a suitable user-context-specific security concept and a data and privacy preserving framework.
@inproceedings{7431483,
abstract = {Even though enterprises increasingly recognize the benefits of cloud computing, many are still reluctant using cloud-based applications or services like customer relationship management (CRM) solutions due to security and privacy concerns. This article aims at defining a roadmap to derive a holistic framework providing data privacy and security by design in the context of cloud-based multi-tenant CRM systems. As a CRM system developed for SMEs CAS PIA serves as an example for typically occurring data structures and use cases including the innovative concept of user-defined security levels for different data types. We present a scenario and requirements analysis for motivating the need for a suitable user-context-specific security concept and a data and privacy preserving framework.},
added-at = {2016-09-22T17:04:31.000+0200},
author = {Vuong, J. and Braun, S.},
biburl = {https://www.bibsonomy.org/bibtex/2a2668155e228f129e93fd4c77a7b6a37/paaswordcas},
booktitle = {2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)},
doi = {10.1109/UCC.2015.107},
interhash = {4d023e9738b7892bbcdb3f240a503976},
intrahash = {a2668155e228f129e93fd4c77a7b6a37},
keywords = {cloud crm privacy security},
month = dec,
pages = {612-617},
timestamp = {2016-09-22T17:10:18.000+0200},
title = {Towards Efficient and Secure Data Storage in Multi-tenant Cloud-Based CRM Solutions},
url = {http://doi.ieeecomputersociety.org/10.1109/UCC.2015.107},
year = 2015
}