Enhanced Intelligent Model for NCD in Wireless Sensor Networks

Authors

  • Manyam Thaile Department of Computer Science & Engineering JNTUH-College of Engineering, Hyderabad
  • O.B.V. Ramanaiah Department of Computer Science & Engineering JNTUH-College of Engineering, Hyderabad

DOI:

https://doi.org/10.14738/tnc.65.5396

Keywords:

Mobile Networks, Trust

Abstract

The serious security threat for Wireless Sensor Network comes from compromised nodes. Node Compromise (NC) effects of
two types: independent and dependent. In independent type, the NC effect is limited to that node only; whereas in dependent,
it will spread to all the nodes across the network. In literature, there is an intelligent model which predicts the spread of node
compromise. This model suffers from false positives as it trusts the communication from neighbouring nodes. To address this
issue, our Parameter Grouping (PG) † mechanism is used in association with the existing Intelligent Model (IM). This Extended
Intelligent Model (E-IM) performs better than the IM. The E-IM has studied through NS-2 based simulation and its performance
is analyzed.

Author Biography

Manyam Thaile, Department of Computer Science & Engineering JNTUH-College of Engineering, Hyderabad

CSE

References

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Published

2018-11-04

How to Cite

Thaile, M., & Ramanaiah, O. (2018). Enhanced Intelligent Model for NCD in Wireless Sensor Networks. Discoveries in Agriculture and Food Sciences, 6(5), 92. https://doi.org/10.14738/tnc.65.5396