Uncertainty Analysis of Attacker - Defender Interactions in MANET Based on Game GSPN with Intuitionistic Fuzzy Parameters

Abstract

This paper presents a comprehensive approach to model an expected attacker- defender interaction in a mobile Ad-hoc wireless network (MANET), which combines utilization of theoretical games methods, intuitionistic fuzzy logic and generalized stochastic Petri nets (GSPN), under which it is carried out the security modeling and QoS analysis of MANET with uncertain parameters due to uncontrollable factors. The validity of the proposed model is illustrated by an example with triangular fuzzy intuitionistic numbers using( )- cuts analysis to show how it can be applied to the proposed approach, which better represents both dimensions of uncertainty, stochastic variability and inaccuracy in the shaping of this type systems. To demonstrate the usability of the method in different threat environments, an illustrative example with triangular intuitionistic fuzzy numbers is provided.