CRDec 14, 2018

Data Security and Privacy Protection Data Security and Privacy Protection in Public Cloud

arXiv:1812.05745v112 citations
Originality Synthesis-oriented
AI Analysis

This tackles data security and privacy issues for users of public cloud services, but appears incremental as it builds on existing mechanisms.

The paper addresses the challenge of securing and protecting privacy for large amounts of data in public cloud computing, where conventional encryption is inefficient for computation, and proposes a multi-cloud architecture as a solution.

This paper discusses about the challenges, advantages and shortcomings of existing solutions in data security and privacy in public cloud computing. As in cloud computing, oceans of data will be stored. Data stored in public cloud would face both outside attacks and inside attacks since public cloud provider themselves are untrusted. Conventional encryption could be used for storage, however most data in cloud needs further computation. Decryption before computation will cause large overheads for data operation and lots of inconvenience. Thus, efficient methods to protect data security as well as privacy for large amount of data in cloud are necessary. In the paper, different mechanisms to protect data security and privacy in public cloud are discussed. A data security and privacy enabled multi-cloud architecture is proposed.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes