A Neuro-Fuzzy Approach for Intrusion Detection in Energy Efficient Sensor Routing

WirelessSensor Network systems (WSNs) have received noteworthy research consideration because of their elite qualities like broad capacity to detect the physical world phenomenon and their broad scope of utilizations, extensive variety of uses due to low cost. One of the real requirements of WSN is lifetime of system because of its battery usage. To determine this issue to some degree is solved by creating various approaches on routing protocol to make energy efficient. EESR-ART2 approach is an endeavor to make organize vitality proficient. ART2 Neural Network Technique is actualized with Energy Efficient Sensor Routing (EESR) Protocol that observed to be a much viable outcome in recreation and upgrade the system lifetime regarding FND (first node dead) and HNA (half node alive) when contrasted with different protocols. Security is the major challenge faced by the existing WSN system. This paper focuses on intrusion detection in energy efficient sensor network using neuro-fuzzy approach. The proposed model discusses how anomalies detection scheme is improved using neuro-fuzzy approach.