Model for evaluating the security of wireless network with fuzzy linguistic information

Abstract

Wireless networks, which can be tasked with a target monitoring or tracking mission in various complicated environments, are guiding a revolution of sensing and gathering information, and have a bright future in a wide range of fields. Wireless networks are vulnerable to various types of security threats and pose unique challenges to security techniques due to many factors such as deployment in unattended environments, broadcast nature of the unreliable wireless channel, larger scale and multi-hop networking property in an ad hoc fashion, special data-centric traffic flow model, inter-node unconditional collaborative and trust relationship, and severe resource constraints etc. Therefore, the key issue in further widely application of wireless sensor networks is how to give consideration to both availability and security for wireless networks. In this paper, we investigate the multiple attribute decision making problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the generalized fuzzy linguistic weighted Bonferroni Mean(GFLWBM) operator, based on which we develop the procedure for multiple attribute decision making under the fuzzy linguistic environments. Finally, we give an illustrative example for evaluating the security of wireless network with fuzzy linguistic information to verify the developed approach and to demonstrate its feasibility and practicality.