The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Optimal Privacy Preserving Scheme Based on Modified ANN and PSO in Cloud
|
|
Author(s): N.G. Nageswari Amma (Vins Christian College of Engineering, Nagercoil, India)and F. Ramesh Dhanaseelan (Computer Application Department, St Xavier's Catholic, College of Engineering, Nagercoil, India)
Copyright: 2019
Volume: 15
Issue: 1
Pages: 19
Source title:
International Journal of Enterprise Information Systems (IJEIS)
Editor(s)-in-Chief: Gianluigi Viscusi (Linköping University, Sweden)
DOI: 10.4018/IJEIS.2019010107
Purchase
|
Abstract
In the cloud, various privacy-preserving and security threats on data retrieval processes exist. In this article, the authors propose an efficient method for secure privacy preserving in cloud. Initially, the shared file is encrypted using a Vigenere encryption algorithm before uploading. For creating the privacy map, the efficient classification algorithm is recommended. Here, a Modified Artificial Neural Network (MANN) is used to generate the privacy map. The weight value of the neural network is optimized using a Particle Swarm Optimization (PSO) algorithm. While retrieving files initially, the authorization of the person is verified by providing basic information, then the OTP of the respective files is verified. Since the user can retrieve the files only after authorization, verification and decryption of the files is highly secured and privacy is preserved. The performance of the proposed method is evaluated in terms of time and accuracy.
Related Content
|
Yujong Hwang, Hui Lin, Donghee Shin.
© 2023.
17 pages.
|
|
Yin Xu, Sam Dzever, Guoqin Zhao.
© 2023.
23 pages.
|
|
Mohamed Abdalla Nour.
© 2023.
29 pages.
|
|
Godwin Banafo Akrong, Yunfei Shao, Ebenezer Owusu.
© 2022.
41 pages.
|
|
Yigal David, Elad Harison.
© 2022.
20 pages.
|
|
Mohmed Y. Mohmed Al-Sabaawi, Bassam A. Alyouzbaky.
© 2022.
22 pages.
|
|
Normalini Md Kassim, Wan Normila Mohamad, Nor Hazlina Hashim.
© 2022.
21 pages.
|
|
|