Hershey, Pennsylvania
New York, New YorkBeijing, China
Selecting Adequate Security Mechanisms in E-Business Processes Using Fuzzy TOPSIS

Selecting Adequate Security Mechanisms in E-Business Processes Using Fuzzy TOPSIS

Shahriar Mohammadi (K. N. Toosi University of Technology, Iran), Sina Golara (K. N. Toosi University of Technology, Iran), and Nasim Mousavi (K. N. Toosi University of Technology, Iran)
Copyright: © 2012 |Pages: 19
DOI: 10.4018/ijfsa.2012010103
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Security mechanisms are substantial to an e-business environment. While many security mechanisms have been developed to secure e-business processes (EBP) and networks, little attention is given to actual process of a systematic decision making. In most cases strongest security level available is selected. In many cases there are low risks and threats associated with the processes and the use of strong security wastes the available resources. In this paper the authors developed a practical multiple criteria decision making model based on the group fuzzy technique for order preference by similarity to ideal solution (GFTOPSIS) for choosing adequate security mechanism for e-business processes and making a trade-off between security and other important factors in the enterprise. Data was acquired from experts and implemented fuzzy approach. The authors differentiated four phases in the EBP. Each phase of the process which has specific security requirements thus we suggested the use of specified security mechanisms for each phase which improves the efficiency of the system.
Article Preview
Top

Preliminaries

In this section we introduce some basic notions essential to understanding of the proposed approach. Instead of crisp numbers, this paper uses fuzzy numbers in decision making process. Moreover technique for order preference by similarity to ideal solution (TOPSIS) is adopted for ranking the alternatives final decision. The combination of the two notions is called fuzzy technique for order preference by similarity to ideal solution (FTOPSIS). We have also adopted group decision making approach in FTOPSIS procedures. The resulting technique can be referred to as GFTOPSIS, the elements of which are introduced.

Complete Article List

Search this Journal:
Reset
Volume 14: 1 Issue (2025)
Volume 13: 1 Issue (2024)
Volume 12: 1 Issue (2023)
Volume 11: 4 Issues (2022)
Volume 10: 4 Issues (2021)
Volume 9: 4 Issues (2020)
Volume 8: 4 Issues (2019)
Volume 7: 4 Issues (2018)
Volume 6: 4 Issues (2017)
Volume 5: 4 Issues (2016)
Volume 4: 4 Issues (2015)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing