Cloud's Transformative Involvement in Managing BIG-DATA ANALYTICS For Securing Data in Transit, Storage And Use: A Study
Title | Cloud's Transformative Involvement in Managing BIG-DATA ANALYTICS For Securing Data in Transit, Storage And Use: A Study |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Sidhu, H. J. Singh, Khanna, M. S. |
Conference Name | 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC) |
Date Published | Nov. 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-7132-6 |
Keywords | Big Data, big data security in the cloud, cloud, cloud computing, Cloud in Big Data, Computational modeling, cryptographic techniques, Data security, Distributed databases, Encryption, pubcrawl, Receivers, security, Software |
Abstract | with the advent of Cloud Computing a new era of computing has come into existence. No doubt, there are numerous advantages associated with the Cloud Computing but, there is other side of the picture too. The challenges associated with it need a more promising reply as far as the security of data that is stored, in process and in transit is concerned. This paper put forth a cloud computing model that tries to answer the data security queries; we are talking about, in terms of the four cryptographic techniques namely Homomorphic Encryption (HE), Verifiable Computation (VC), Secure Multi-Party Computation (SMPC), Functional Encryption (FE). This paper takes into account the various cryptographic techniques to undertake cloud computing security issues. It also surveys these important (existing) cryptographic tools/techniques through a proposed Cloud computation model that can be used for Big Data applications. Further, these cryptographic tools are also taken into account in terms of CIA triad. Then, these tools/techniques are analyzed by comparing them on the basis of certain parameters of concern. |
URL | https://ieeexplore.ieee.org/document/9315808 |
DOI | 10.1109/PDGC50313.2020.9315808 |
Citation Key | sidhu_clouds_2020 |