Enhanced Intelligent Model for NCD in Wireless Sensor Networks
Manyam Thaile, O.B.V. Ramanaiah · Discoveries in Agriculture and Food Sciences · 2018
The serious security threat for Wireless Sensor Network comes from compromised nodes. Node Compromise (NC) effects oftwo 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 nodecompromise. This model suffers from false positives as it trusts the communication from neighbouring nodes. To address thisissue, our Parameter Grouping (PG) † mechanism is used in association with the existing Intelligent Model (IM). This ExtendedIntelligent Model (E-IM) performs better than the IM. The E-IM has studied through NS-2 based simulation and its performanceis analyzed.