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False Data Injection Prevention in Wireless Sensor Networks using Node-level Trust Value Computation

Wireless Sensor Networks are extensively used in developing applications for surveillance, habitat monitoring, border security, intrusion detection etc. Most of these applications require secure data transmission among the nodes of the network. Out of the different types of attacks a data critical application faces, False Data Injection attacks are the most damaging one. So prevention of False Data Injection attacks is a crucial aspect while building data critical wireless sensor network applications. Researchers have suggested cryptographic schemes like RSA, ECC for the prevention of False Data Injection Attacks. Use of cryptographic techniques increases the computation complexity on all the nodes and the energy constraints on WSN demands an alternate solution for False Data Injection attacks prevention. The proposed work aims on using trust parameter of every nodes to distinguish malicious and non-malicious nodes and use only trusted nodes to forward the packet to destination thus by prevention FDI attacks. Simulation is carried out with the help of Network Simulator 2 (NS2). The results shows the energy consumption is less in the proposed scheme compared to the cryptographic techniques.