Defending Against Malicious Threats in Wireless Sensor Network: A Mathematical Model
Wireless sensor networks offer a powerful combination of distributed sensing, computing and communication. They lend themselves to countless applications and at the same time constrained by limited battery life, processing capability, memory and bandwidth which makes it soft target of malicious objects such as virus and worms. The authors study the potential threat for worm spread in wireless sensor network using epidemic theory. They propose a new model Susceptible-Exposed-Infectious-Quarantine-Recovered-Susceptible with Vaccination (SEIQRS-V), to characterize the dynamics of the worm spread in WSN.