*IV Year, Department of Computer Science and Engineering, Vidya Jyothi Institute of Technology, Hyderabad
**Head of Department, Department of Computer Science and Engineering, Vidya Jyothi Institute of Technology, Hyderabad
Online published on 10 February, 2015.
Multiple Heterogeneous Intruder Detection System using Wireless Sensor Network (WSN) is of practical and particular interest in many field applications such as identifying an intruder in a military battlefield communication network or in any sensitive information storage spaces including experiment labs. The intrusion identification is defined as a mechanism for a WSN to identify the existence of inappropriate, incorrect, or anomalous attackers either moving or idle.
The information provided by a single sensor might be inadequate for recognizing the intruder.
There is no viable data integrity.
Data will not be routed if primary detector fails.
If primary detector fails, supplementary detectors can identify the intruder.
By finding the intruders, we can transmit our information in a secured channel through SSLs.
Data will be routed through backup tunnels if primary detector fails.
In lieu of this, we analyze the intrusion identification problem under two field application scenarios: single-sensing identification and multiple-heterogeneous-sensing identification. According to the capacity of sensors, we consider two network types: homogeneous and heterogeneous WSNs. We define the sensing capability in terms of the sensing range and the transmission range. In a heterogeneous WSN, some sensors have a larger sensing range and more throughput to achieve a longer transmission range.
Heterogeneous, WSN, Wireless Sensor Network, Intruder, Transmission, Multiple Sensor, Wireless Sensor, Simulation case constant, Nodal Plurality, Detection, Security Events, Multi-hop tunneling Algorithm, Range, Density, Probability, Masquerader, Sniffer, Network Parameters, Distance
