Development of a secure routing protocol using game theory model in mobile ad hoc networks

Abstract

In mobile ad-hoc networks (MANETs), nodes are mobile in nature. Collaboration between mobile nodes is more significant in MANETs, which have as their greatest challenges vulnerabilities to various security attacks and an inability to operate securely while preserving its resources and performing secure routing among nodes. Therefore, it is essential to develop an effective secure routing protocol to protect the nodes from anonymous behaviors. Currently, game theory is a tool that analyzes, formulates and solves selfishness issues. It is seldom applied to detect malicious behavior in networks. It deals, instead, with the strategic and rational behavior of each node. In our study,we used the dynamic Bayesian signaling game to analyze the strategy profile for regular and malicious nodes. This game also revealed the best actions of individual strategies for each node. Perfect Bayesian equilibrium (PBE) provides a prominent solution for signaling games to solve incomplete information by combining strategies and payoff of players that constitute equilibrium. Using PBE strategies of nodes are private information of regular and malicious nodes. Regular nodes should be cooperative during routing and update their payoff, while malicious nodes take sophisticated risks by evaluating their risk of being identified to decide when to decline. This approach minimizes the utility of malicious nodes and it motivates better cooperation between nodes by using the reputation system. Regular nodes monitor continuously to evaluate their neighbors using belief updating systems of the Bayes rule.

State-of-art review of information diffusion models and their impact on social network vulnerabilities

“…As, the information disseminator possesses the knowledge of information and the information authenticity. In the background of the information propagation, the game theory and multi agent technology are applied to the research of network information dissemination (Paramasivan et al, 2015). A number of game models are established for different situations.…”

Energy Preserving Secured Route Selection Algorithm Based on Hybrid Metaheuristic Algorithms for MANET

“…This work claims itself with reduced routing overhead but, the efficiency of the work is based on the trustworthiness of the neighbourhood nodes. A secure routing protocol is developed for MANET in [14] by employing game theory model. This work analyses the profile of all the sensor nodes for distinguishing between the normal and malicious nodes with the help of dynamic Bayesian signalling game.…”

An Adaptive Security Model for Dynamic Node Behaviour in MANE

“…Paramasivan et al [25] have proposed a Perfect Bayesian Estimation (PBE) technique for making a decision about the type of node (regular or malicious) and reporting it to other nodes. The drawbacks of this technique are: increased complexity due to use of Bayesian model and increased traffic overhead due to information sharing.…”