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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Feb 2018
Next issue: May 2018
Avg review time: 107 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  1/2017 - 2

Enhancing Trusted Cloud Computing Platform for Infrastructure as a Service

KIM, H. See more information about KIM, H. on SCOPUS See more information about KIM, H. on IEEExplore See more information about KIM, H. on Web of Science
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,284 KB) | Citation | Downloads: 484 | Views: 692

Author keywords
authentication, communication system security, cryptographic protocols, data security, platform virtualization

References keywords
computing(17), cloud(17), security(8), trusted(7), wang(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-02-28
Volume 17, Issue 1, Year 2017, On page(s): 9 - 14
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.01002
Web of Science Accession Number: 000396335900002
SCOPUS ID: 85014191578

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The characteristics of cloud computing including on-demand self-service, resource pooling, and rapid elasticity have made it grow in popularity. However, security concerns still obstruct widespread adoption of cloud computing in the industry. Especially, security risks related to virtual machine make cloud users worry about exposure of their private data in IaaS environment. In this paper, we propose an enhanced trusted cloud computing platform to provide confidentiality and integrity of the user's data and computation. The presented platform provides secure and efficient virtual machine management protocols not only to protect against eavesdropping and tampering during transfer but also to guarantee the virtual machine is hosted only on the trusted cloud nodes against inside attackers. The protocols utilize both symmetric key operations and public key operations together with efficient node authentication model, hence both the computational cost for cryptographic operations and the communication steps are significantly reduced. As a result, the simulation shows the performance of the proposed platform is approximately doubled compared to the previous platforms. The proposed platform eliminates cloud users' worry above by providing confidentiality and integrity of their private data with better performance, and thus it contributes to wider industry adoption of cloud computing.

References | Cited By  «-- Click to see who has cited this paper

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[2] M. Armbrust, I. Stoica, M. Zaharia, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, and A. Rabkin, "A view of cloud computing," Communications of the ACM, vol. 53, no. 4, p. 50, Apr. 2010.
[CrossRef] [Web of Science Times Cited 2755] [SCOPUS Times Cited 4249]

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[CrossRef] [Web of Science Times Cited 163] [SCOPUS Times Cited 241]

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[CrossRef] [SCOPUS Times Cited 4]

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[16] T. Garfinkel, B. Pfaff, J. Chow, M. Rosenblum, and D. Boneh, "Terra: a virtual machine-based platform for trusted computing," ACM SIGOPS Operating Systems Review, vol. 37, no. 5, p. 193, Dec. 2003.

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[20] B. C. Neuman and T. Ts'o, "Kerberos: an authentication service for computer networks," IEEE Communications Magazine, vol. 32, no. 9, pp. 33-38, Sep. 1994.
[CrossRef] [Web of Science Times Cited 412] [SCOPUS Times Cited 698]

References Weight

Web of Science® Citations for all references: 4,139 TCR
SCOPUS® Citations for all references: 6,829 TCR

Web of Science® Average Citations per reference: 197 ACR
SCOPUS® Average Citations per reference: 325 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-03-19 05:03 in 111 seconds.

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Faculty of Electrical Engineering and Computer Science
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