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Home»Articles»Encrypted Mobile Cloud Data Searching With Efficient Traffic and Energy Saving Method

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Asian Journal of Computer Science and Technology (AJCST)

Editor Dr. K. Ganesh
Print ISSN : 2249-0701
Frequency : Quarterly

Encrypted Mobile Cloud Data Searching With Efficient Traffic and Energy Saving Method

Author : M. Jamuna and A. Supriya
Volume 8 No.3 Special Issue:June 2019 pp 122-127

Abstract

Cloud storage provides a convenient, massive, and scalable storage at low value; however information privacy could be a major concern that prevents users from storing files on the cloud confidingly. a technique of enhancing privacy from information owner purpose of read is to cipher the files before outsourcing them onto the cloud and decode the files when downloading them. However, encryption could be a heavy overhead for the mobile devices, and information retrieval method incurs an advanced communication between the information user and cloud. Commonly with restricted bandwidth capability and restricted battery life, these problems introduce significant overhead to computing and communication as well as the next power consumption for mobile device users that makes the encrypted search over mobile cloud terribly difficult. During this paper, we tend to propose traffic and energy saving encrypted search (TEES), a bandwidth and energy efficient encrypted search design over mobile cloud. The planned design offloads the computation from mobile devices to the cloud, and that we any optimize the communication between the mobile clients and also the cloud. It’s demonstrated that the information privacy doesn’t degrade once the performance sweetening ways square measure applied. Our experiments show that TEES reduces the computation time by twenty three to forty six p.c and save the energy consumption by 35 to 55 percent per file retrieval; meanwhile the network traffics throughout the file retrievals also are considerably reduced.

Keywords

Mobile Cloud Storage, Searchable Data Encryption, Energy Efficiency, Traffic Efficiency

Full Text:

References

[1] D. Hiemstra, “A probabilistic justification for using tf_idf term weighting in information retrieval”, Int. J. Digital Libraries, Vol. 3, No. 2, pp. 131–139, 2000.
[2] L. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner, “A break in the clouds: Towards a cloud definition”, ACM SIGCOMM Computer Commun. Rev., Vol. 39, No. 1, pp. 50–55, 2008.
[3] D. Huang, “Mobile cloud computing”, IEEE COMSOC Multimedia Commun. Techn. Committee E-Letter, Vol. 6, No. 10, pp. 27–31, 2011.
[4] C. Wang, N. Cao, K. Ren, and W. Lou, “Enabling secure and efficient ranked keyword search over outsourced cloud data”, IEEE Trans. Parallel Distrib. Syst., Vol. 23, No. 8, pp. 1467–1479, Aug. 2012.
[5] N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, “Privacy-preserving multi-keyword ranked search over encrypted cloud data”, IEEE Trans. Parallel Distrib. Syst., Vol. 25, No. 1, pp. 222–233, Jan. 2014
[6] J. Zobel and A. Moffat, “Inverted files for text search engines”, ACM Computer. Surveys, Vol. 38, No. 2, pp. 6, 2006.
[7] D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent Dirichlet allocation”, J. Mach. Learn. Res., Vol. 3, pp. 993–1022, 2003.
[8] K. Jones, “Index term weighting”, Inf. Storage Retrieval, Vol. 9, No. 11, pp. 619–633, 1973.
[9] M. Li, S. Yu, K. Ren, W. Lou, and Y. T. Hou, “Toward privacy assured and searchable cloud data storage services”, IEEE Newt., Vol. 27, No. 4, pp. 56–62, Jul./Aug. 2013.
[10] A. Aizawa, “An information-theoretic perspective of tf-idf measures”, Inf. Process. Manage, Vol. 39, pp. 45–65, 2003.
[11] K. Kumar and Y. Lu, “Cloud computing for mobile users: Can offloading computation save energy?” Computer, Vol. 43, No. 4, pp. 51–56, 2010.
[12] J. Zobel and A. Moffat, “Exploring the similarity space”, ACM SIGIR Forum, Vol. 32, No. 1, pp. 18–34, 1998.

Asian Journal of Computer Science and Technology is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and research papers covering all aspects of future computer and Information Technology areas. Topics include, but are not limited to:

Foundations of High-performance ComputingTheory of algorithms and computability

Parallel & distributed computing

Computer networks

Neural networks

LAN/WAN/MAN

Database theory & practice

Mobile Computing for e-Commerce

Future Internet architecture

Protocols and services

Mobile and ubiquitous networks

Green networking

Internet content search

Opportunistic networking

Network applications

Network scaling and limits

Artifial Intelligences

Pattern/Image Recognitions

Communication Network

Information Security

Knowledge Management

Management Information systems

Multimedia communicatiions

Operations research

Optical networks

Software Engineering

Virtual reality

Web Technologies

Wireless technology

Cloud storage provides a convenient, massive, and scalable storage at low value; however information privacy could be a major concern that prevents users from storing files on the cloud confidingly. a technique of enhancing privacy from information owner purpose of read is to cipher the files before outsourcing them onto the cloud and decode the files when downloading them. However, encryption could be a heavy overhead for the mobile devices, and information retrieval method incurs an advanced communication between the information user and cloud. Commonly with restricted bandwidth capability and restricted battery life, these problems introduce significant overhead to computing and communication as well as the next power consumption for mobile device users that makes the encrypted search over mobile cloud terribly difficult. During this paper, we tend to propose traffic and energy saving encrypted search (TEES), a bandwidth and energy efficient encrypted search design over mobile cloud. The planned design offloads the computation from mobile devices to the cloud, and that we any optimize the communication between the mobile clients and also the cloud. It’s demonstrated that the information privacy doesn't degrade once the performance sweetening ways square measure applied. Our experiments show that TEES reduces the computation time by twenty three to forty six p.c and save the energy consumption by 35 to 55 percent per file retrieval; meanwhile the network traffics throughout the file retrievals also are considerably reduced.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Table of Contents

    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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