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Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues. / Sobati-M, Somayeh; Fayoumi, Amjad.
In: IEEE Access, Vol. 7, 01.04.2019, p. 45632-45650.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Sobati-M, S & Fayoumi, A 2019, 'Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues', IEEE Access, vol. 7, pp. 45632-45650. https://doi.org/10.1109/ACCESS.2019.2908761

APA

Sobati-M, S., & Fayoumi, A. (2019). Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues. IEEE Access, 7, 45632-45650. https://doi.org/10.1109/ACCESS.2019.2908761

Vancouver

Sobati-M S, Fayoumi A. Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues. IEEE Access. 2019 Apr 1;7:45632-45650. doi: 10.1109/ACCESS.2019.2908761

Author

Sobati-M, Somayeh ; Fayoumi, Amjad. / Toward Securing Cloud-Based Data Analytics : A Discussion on Current Solutions and Open Issues. In: IEEE Access. 2019 ; Vol. 7. pp. 45632-45650.

Bibtex

@article{286521bca492443b92e22507864035db,
title = "Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues",
abstract = "In the last few years, organizations and business professionals have realized the value of data analytics in supporting decision-making. Where several activities are performed on on-line data by different stakeholders, such as cleansing, aggregation, analysis and visualization, cloud-based data analytics has become a favored choice for business professionals due to the elasticity, availability, scalability, and pay-as-you-go features offered by cloud computing. However, large amounts of data stored on the cloud are very sensitive (e.g., innovation, financial, legal, customers{\textquoteright} data), and so data privacy remains one of the top concerns for many reasons;mainly those relating to legal or competition issues. In this paper, we review the security and cryptographic mechanisms which aim to make data analytics secure in a cloud environment, and discuss current research challenges.",
author = "Somayeh Sobati-M and Amjad Fayoumi",
year = "2019",
month = apr,
day = "1",
doi = "10.1109/ACCESS.2019.2908761",
language = "English",
volume = "7",
pages = "45632--45650",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Toward Securing Cloud-Based Data Analytics

T2 - A Discussion on Current Solutions and Open Issues

AU - Sobati-M, Somayeh

AU - Fayoumi, Amjad

PY - 2019/4/1

Y1 - 2019/4/1

N2 - In the last few years, organizations and business professionals have realized the value of data analytics in supporting decision-making. Where several activities are performed on on-line data by different stakeholders, such as cleansing, aggregation, analysis and visualization, cloud-based data analytics has become a favored choice for business professionals due to the elasticity, availability, scalability, and pay-as-you-go features offered by cloud computing. However, large amounts of data stored on the cloud are very sensitive (e.g., innovation, financial, legal, customers’ data), and so data privacy remains one of the top concerns for many reasons;mainly those relating to legal or competition issues. In this paper, we review the security and cryptographic mechanisms which aim to make data analytics secure in a cloud environment, and discuss current research challenges.

AB - In the last few years, organizations and business professionals have realized the value of data analytics in supporting decision-making. Where several activities are performed on on-line data by different stakeholders, such as cleansing, aggregation, analysis and visualization, cloud-based data analytics has become a favored choice for business professionals due to the elasticity, availability, scalability, and pay-as-you-go features offered by cloud computing. However, large amounts of data stored on the cloud are very sensitive (e.g., innovation, financial, legal, customers’ data), and so data privacy remains one of the top concerns for many reasons;mainly those relating to legal or competition issues. In this paper, we review the security and cryptographic mechanisms which aim to make data analytics secure in a cloud environment, and discuss current research challenges.

U2 - 10.1109/ACCESS.2019.2908761

DO - 10.1109/ACCESS.2019.2908761

M3 - Journal article

VL - 7

SP - 45632

EP - 45650

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -