The week's pick
Random Articles
Reseach Article
Study for Best Data Obfuscation Techniques using Multi-Criteria Decision-Making Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 43 |
| Year of Publication: 2018 |
| Authors: Gayatri C. Deshmukh, S. M. Patil |
10.5120/ijca2018917137
|
Gayatri C. Deshmukh, S. M. Patil . Study for Best Data Obfuscation Techniques using Multi-Criteria Decision-Making Technique. International Journal of Computer Applications. 180, 43 ( May 2018), 50-57. DOI=10.5120/ijca2018917137
Abstract
In this paper, we describe the formatting guidelines for IJCA Journal Submission Data obfuscation (or also known as masking of data) is the process of hiding real data with random characters or data i.e. the process of protecting sensitive data from thefts and hackers. Obfuscation is applied in order to secure data that is classified as personal identifiable data, personally or commercially sensitive data. Keeping the data valid for the use of test cycles. It must also appear consistent. The objective is to protect the privacy of individuals which is getting vital for operative functioning over the internet. Privacy enforcement is being handled primarily through governments for development or testing purposes and study of various data obfuscation techniques for different applications and their comparison study using statistical parameters. In this paper, we study the comparison of various data obfuscation techniques. The results strongly suggest that replacement methods can be used across the domains starting such as finance, banking, military, health care sector, and identity management domain. Different data obfuscation models such as encryption, shuffling, substitution, and masking out are compared.
References
- Ravikumar G K, Manjunath T N, Ravindra S Hegadi, Umesh I M, 2011, A Survey on Recent Trends, Process and Development in Data Masking for Testing
- A Net 2000 Ltd. White Paper, 2016, Data Masking: What You Need to Know, What You Really Need To Know Before You Begin
- Madurika, HKGM, & Hemakumara, GPTS., 2015, Gis Based Analysis for Suitability Location Finding in The Residential Development Areas of Greater Matara Region. International Journal of Scientific & Technology Research, 4(8)
- Rew, L., 1988, Intuition in Decision‐making Journal of Nursing Scholarship. 20 (3): 150–154. doi:10.1111/j.1547-5069. 1988.tb00056
- R. Venkata Rao, 2007, Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
- Gault, RH, 1907, "A history of the questionnaire method of research in psychology". Research in Psychology.
- Evangelos Triantaphyllou, 2011,”Multi-Criteria Decision Making Methods: A Comparative Study”.
- Securosis, L.L.C., 2012, Understanding and Selecting Data Masking Solutions: Creating Secure and Useful Data
- An Oracle White Paper, 2013, Data Masking Best Practice
- L. Karlitasari, D. Suhartini and Benny,2017, “Comparison of simple additive weighting (SAW) and composite performance index (CPI) methods in employee remuneration determination”
- Ricardo Jorge Santos, Jorge Bernardino, Marco Vieira,2011, A Data Masking Technique for Data Warehouses
- Rupa Parameswaran, Douglas M Blough, 2007, Privacy Preserving Collaborative Filtering using Data Obfuscation
- David E. Bakken, Rupa Parameswaran And Douglas M. Blough, Andy A. Franz And Ty J. Palmer, 2004, Data Obfuscation: Anonymity and Desensitization of Usable Data Sets
- Wei Xu, Fangfang Zhang and Sencun Zhu, 2012, The Power of Obfuscation Techniques in Malicious JavaScript Code: A Measurement Study
- A Hidayat, H Mustafidah, and A Suyadi. 2015, Penerapan Metode Simple Additive Weighting (Saw) Untuk Sistem Pendukung Keputusan Penilaian Kinerja Dosen Di Universitas Muhammadiyah Purwokerto. Prosiding SENATEK 2015. Technique Faculty. Universitas Muhammadiyah Purwokerto. Purwokerto. ISBN 978-602-14355-0 -2, pp. 367-374.
- A Memariania, A Aminib and A Alinezhadc, 2009, Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives. Journal of Optimization in Industrial Engineering. Article 2. Volume 2. Issue 4. Page 13-18.
- G S Pandian, N Jawahar, and SP Nachiappan, 2013, Composite Performance Index for Sustainability. IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) e-ISSN: 2319-2402, p- ISSN: 2319-2399.Volume 3, Issue 1. PP 91-102.
- Turban, Efrain, Aronson, and Jay, 2001, Decision Support System and Intelligent System, Prentice Hall, New Jersey.
- Valensia, 2012, Sistem Pendukung Keputusan penilaian Kinerja Karyawan Dengan Menggunakan Metode Simple Additive Weighting (SAW).
Index Terms
Keywords