Volume 9 Number 1 (Jan. 2014)
Home > Archive > 2014 > Volume 9 Number 1 (Jan. 2014) >
JSW 2014 Vol.9(1): 1-10 ISSN: 1796-217X
doi: 10.4304/jsw.9.1.1-10

An Innovative Encryption Method for Agriculture Intelligent Information System based on Cloud Computing Platform

Tan, Wen Xue1, Zhao, Chun Jiang2, Wu, Hua Rui3, Wang, Xi Ping4
1National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097, China
2College of Computer Science and Technology, Hunan University of Arts and Science, Changde, 415000, China
3College of Computer Science, Beijing University of Technology, Beijing, 100022, China
4College of Economy and Management, Hunan University of Arts and Science, Changde, Hunan, 415000, China

Abstract—Along with a rapid growth of cloud computing technology and its deep application in Agriculture Intelligent Information System, Agriculture Industry information security and privacy has become a highlight of the issue about Agriculture Cloud Information System. Encrypting is a conventional information security means, however, hitherto almost all encryption scheme cannot support the operation based on cipher-text. As a result, it is a difficult to build up the corporate and individual information security and privacy-securing in the information system based on cloud computing platform. In order to construct the information security and privacy of cloud computing infrastructure, down to the practicality of Agriculture Information System the project crew brings forward An Innovative Encryption Method for Agriculture Intelligent Information System based on Cloud Computing Platform, OCEVMO for short, which takes root in the theory of matrix, and supports a series of cipher-text-operation essential to build a secure communication protocol between user, owner and cloud server. Beside the conventional encryption-decryption operation, OCEVMO implements 4 operations of cipher-textnumerical- value data such as adding, subtracting, multiplying and dividing. Theoretical analysis and experimental performance estimation demonstrates that OCEVMO is of INDCCA security, capable of performing crypo-function with a moderate speed. Its favorable versatile performance gives promise of the interactive operation Securing corporateindividual privacy in the area of Agriculture Intelligent Information System.

Index Terms—Cloud computing; Agriculture Intelligent System; Data Encryption; Matrix-Operation; Privacy-Securing; IND-CCA.


Cite: Tan, Wen Xue, Zhao, Chun Jiang, Wu, Hua Rui, and Wang, Xi Ping, "An Innovative Encryption Method for Agriculture Intelligent Information System based on Cloud Computing Platform," Journal of Software vol. 9, no. 1, pp. 1-10, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Sep 13, 2021 News!

    The papers published in Vol 16, No 6 have all received dois from Crossref    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2021, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Sep 13, 2021 News!

    Vol 16, No 6 has been published with online version     [Click]