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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 108 days


PUBLISHER

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

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


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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
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.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

Read More »


    
 

  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 in 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: 540 | Views: 950

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

References keywords
computing(17), cloud(17), security(8), trusted(7)
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

Abstract
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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 3026] [SCOPUS Times Cited 4037]


[3] T. Kaur and I. Chana, "Energy Efficiency Techniques in Cloud Computing: A Survey and Taxonomy," ACM Computing Surveys, vol. 48, no. 2, pp. 1-46, Oct. 2015.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 47]


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[CrossRef] [Web of Science Times Cited 140] [SCOPUS Times Cited 189]


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[CrossRef] [Web of Science Times Cited 173] [SCOPUS Times Cited 232]


[6] D. Zissis and D. Lekkas, "Addressing cloud computing security issues," Future Generation Computer Systems, vol. 28, no. 3, pp. 583-592, Mar. 2012.
[CrossRef] [Web of Science Times Cited 492] [SCOPUS Times Cited 692]


[7] M. Sookhak, H. Talebian, E. Ahmed, A. Gani, and M. K. Khan, "A review on remote data auditing in single cloud server: Taxonomy and open issues," Journal of Network and Computer Applications, vol. 43, pp. 121-141, Aug. 2014.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 60]


[8] K. Hashizume, D. G. Rosado, E. Fernández-Medina, and E. B. Fernandez, "An analysis of security issues for cloud computing," Journal of Internet Services and Applications, vol. 4, no. 1, p. 5, 2013.
[CrossRef] [SCOPUS Times Cited 200]


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[CrossRef] [Web of Science Times Cited 208] [SCOPUS Times Cited 263]


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[CrossRef] [SCOPUS Times Cited 4]


[11] F. Zhang and H. Chen, "Security-Preserving Live Migration of Virtual Machines in the Cloud," Journal of Network and Systems Management, vol. 21, no. 4, pp. 562-587, Dec. 2013.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 18]


[12] N. Santos, K. P. Gummadi, and R. Rodrigues, "Towards trusted cloud computing," Proc. HotCloud'09, Article no. 3, 2009.

[13] I. Khan, H. Rehman, and Z. Anwar, "Design and Deployment of a Trusted Eucalyptus Cloud," Proc. IEEE cloud computing, 2011, pp. 380-387.
[CrossRef] [SCOPUS Times Cited 26]


[14] S. Balfe, A. D. Lakhani, and K. G. Paterson, "Trusted Computing: Providing Security for Peer-to-Peer Networks," Proc. IEEE PSP'05, pp. 117-124.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 63]


[15] D. G. Murray, G. Milos, and S. Hand, "Improving Xen security through disaggregation," Proc. VEE'08, 2008, p. 151.
[CrossRef] [SCOPUS Times Cited 111]


[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.
[CrossRef]


[17] Wang Han-Zhang and Huang Liu-Sheng, "An improved trusted cloud computing platform model based on DAA and privacy CA scheme," Proc. ICCAMS 2010, 2010, pp. V13-33-V13-39.
[CrossRef] [SCOPUS Times Cited 17]


[18] Ge Cheng and A. K. Ohoussou, "Sealed storage for trusted cloud computing," Proc. ICCDA 2010, 2010, pp. V5-335-V5-339.
[CrossRef] [SCOPUS Times Cited 5]


[19] S. R. Pojage and M. A. Pund, "Review of trusted cloud computing platform security," Proc. NCSC2D 2016, pp. 167-172, Feb. 2016.

[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 425] [SCOPUS Times Cited 644]




References Weight

Web of Science® Citations for all references: 4,564 TCR
SCOPUS® Citations for all references: 6,608 TCR

Web of Science® Average Citations per reference: 217 ACR
SCOPUS® Average Citations per reference: 315 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 2018-09-16 22:35 in 132 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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