Big data comprises high-volume, high-velocity, and high-variety information assets that demand cost effective and innovative forms of information processing for enhanced insight and decision making. The rise of cloud computing makes providing flexible computation, communication, and storage capacity possible. Due to the outsourcing and sharing feature of cloud computing, security becomes one of the main concerns. Both the data and program are potential targets for security compromise. These concerns hinder the end users to migrate to the cloud for big data processing. A lot of techniques have been developed to alleviate the security concerns for big data processing in the cloud environment. However, these approaches usually only focus on data protection or rely on certain security anchor in the cloud environment. We propose a formal framework and security definition of big data processing which takes both data and program protection into consideration. The framework/security definition captures the key features of the scenario and avoids sinking into unnecessary details. We develop a solution under this framework which combines operation steganography and FHE scheme to satisfy the security definition.
|Title of host publication||Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015|
|Editors||Calton Pu, Ajay Mohindra|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||8|
|Publication status||Published - 2015 Aug 19|
|Event||8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States|
Duration: 2015 Jun 27 → 2015 Jul 2
|Name||Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015|
|Other||8th IEEE International Conference on Cloud Computing, CLOUD 2015|
|Period||15/6/27 → 15/7/2|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications