Virus Attack Identification And Representation In Sensor Network

Abstract

Clusters consist of circulated sensors and motor that interact with each other via wireless network. The use of open wireless intermediate and unattended deployment  leaves these systems vulnerable  to intelligent adversary whose goal is to disrupt the system performance. Here we study the virus attack on a networked control system, in which an opponent establishes a link between two physically different areas of the network by using either high-gain antennas, as in the out of band, or colluding network nodes as in the in-band virus. Virus allow the adversary to violate the timing constraints of real-time control systems by first creating low latency links, which attack network traffic, and then delaying or dropping packets.

The requester and responder in between the data sending through a transport channel then data can be destroyed or modified, so to avoid those problems we are proposing a new system by using NS2 features. Our approach is based on the analysis of the two-hop neighbours forwarding Route Reply packet. To check the validity of the sender, a unique key between the individual sensor node and the base station is required to be generated by suitable scheme. In our proposed work detection of virus attack is done through observing the performance of the route under various metrics those are packet delivery fraction, end-to-end delay and throughput. If the route having high end-to-end delay and low packet delivery fraction and low throughput that route must contains a virus nodes. So we can avoid those routes in the routing.