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Secured & Efficient Data Transmission in WSN Using Cluster-Based False Data Filtering Technique

Author :
  • Mohd. Zabidin Husin
  • Abdul Razak Rahmat
Abstract
Wireless sensor networks (WSNs) are currently being implemented in multiple sectors such as building automation, medical, safety, smart farming, and catastrophe tracking. A WSN is made up of hundreds of thousands of small sensor nodes performing surveillance functions. A tiny sensor node has restricted internal memory and resources for energy. Sensor nodes are used in particular environmental fields to detect a range of information. WSN should, therefore, be energy-efficient. Since they are deployed in an open setting, sensor nodes are susceptible to fake report injection attacks. A fake report attack by injection consumes a node's restricted-energy faster and confuses the user. By separating nodes into clusters, CFFS was suggested to avoid such an attack using an en-route filtering technique for fake accounts. The CFFS system, however, is susceptible to repeated injection assaults by fake reports. In this document, we suggest a strategy to prolong the lifetime of the WSN by changing the dynamic safety threshold value and using a variety of cluster head nodes based on fuzzy logic important redistribution. The suggested technique improves the detection rate for repeated fake report injection assaults by adding to the current technique the extra main allocation stage. The experimental findings indicate a 40.278 percent increase in the energy efficiency of the suggested technique.
Keywords : False Report Injection Attack, Cluster-based False Data Filtering, Network Lifetime Extension, Fuzzy-Logic System.
Volume 1 | Issue 2
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