Concurrency Computation Practice and Experience, volume 30, issue 15, pages e4498
An efficient and provably secure time-limited key management scheme for outsourced data
2
ABES Engineering College; Ghaziabad 201009 India
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4
Department of Mathematics and Computer Science; University of Missouri; Columbia, MO 65211 USA
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Publication type: Journal Article
Publication date: 2018-05-07
Q2
Q2
SJR: 0.533
CiteScore: 5.0
Impact factor: 1.5
ISSN: 15320626, 15320634
DOI:
10.1002/cpe.4498
Computer Science Applications
Computational Theory and Mathematics
Computer Networks and Communications
Software
Theoretical Computer Science
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Kumar N. et al. An efficient and provably secure time-limited key management scheme for outsourced data // Concurrency Computation Practice and Experience. 2018. Vol. 30. No. 15. p. e4498.
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Kumar N., Tiwari S., Zheng Z., Mishra K. K., Sangaiah A. K. An efficient and provably secure time-limited key management scheme for outsourced data // Concurrency Computation Practice and Experience. 2018. Vol. 30. No. 15. p. e4498.
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TY - JOUR
DO - 10.1002/cpe.4498
UR - https://doi.org/10.1002/cpe.4498
TI - An efficient and provably secure time-limited key management scheme for outsourced data
T2 - Concurrency Computation Practice and Experience
AU - Kumar, Naveen
AU - Tiwari, Shailesh
AU - Zheng, Zhigao
AU - Mishra, Krishn Kumar
AU - Sangaiah, Arun Kumar
PY - 2018
DA - 2018/05/07
PB - Wiley
SP - e4498
IS - 15
VL - 30
SN - 1532-0626
SN - 1532-0634
ER -
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BibTex (up to 50 authors)
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@article{2018_Kumar,
author = {Naveen Kumar and Shailesh Tiwari and Zhigao Zheng and Krishn Kumar Mishra and Arun Kumar Sangaiah},
title = {An efficient and provably secure time-limited key management scheme for outsourced data},
journal = {Concurrency Computation Practice and Experience},
year = {2018},
volume = {30},
publisher = {Wiley},
month = {may},
url = {https://doi.org/10.1002/cpe.4498},
number = {15},
pages = {e4498},
doi = {10.1002/cpe.4498}
}
Cite this
MLA
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Kumar, Naveen, et al. “An efficient and provably secure time-limited key management scheme for outsourced data.” Concurrency Computation Practice and Experience, vol. 30, no. 15, May. 2018, p. e4498. https://doi.org/10.1002/cpe.4498.