Title :
Game theory model for selective forward attacks in wireless sensor networks
Author :
Reddy, Yenumula B. ; Srivathsan, S.
Author_Institution :
Grambling State Univ., LA, USA
Abstract :
The problem of detecting malicious nodes in wireless sensor networks is considered. Since current security mechanisms are inadequate for wireless sensor networks, we must develop a new framework to detect malicious nodes using Zero-Sum game approach and selective node acknowledgements in the forward data path. The first few sections of the paper provide a game model with probability of cost required to defend the nodes and the subsequent sections derives the model to detect malicious nodes using the probability of acknowledgment at source.
Keywords :
game theory; probability; wireless sensor networks; game theory; malicious nodes detection; probability; selective forward attacks; wireless sensor networks; zero-sum game approach; Automatic control; Automation; Computer hacking; Costs; Data security; Game theory; Monitoring; Nash equilibrium; Protocols; Wireless sensor networks; Deployment; Game Theory; Nash Equilibrium; Processing Capability; Security; Wireless Sensor Networks;
Conference_Titel :
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-4684-1
Electronic_ISBN :
978-1-4244-4685-8
DOI :
10.1109/MED.2009.5164584