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ABSTRACT Mobile ad hoc network is dynamic in nature and vulnerable for several attacks to be arising in it. Mobile nodes frequently disconnect and join the network; they can arbitrarily moves from one place to another. There are several attacks in MANET. One of the attacks is Black hole attack, it is a kind of active attack, it drops the entire incoming packet between one source and destination. Black Hole nodes or Black Holes actually send a fake RREP packet and advertise itself as the shortest route is found. Sender starts transmitting packets to Black Hole, But packet do not reach the destination node on account of this attack and data packets are also lost .In our work we tried to secure the AODV protocol, so that it can withstand the attack by adding an IDS_node to AODV protocol. We have seen that packet drop ratio is decreased by desirable amount.
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Detection and Prevention from Black Hole attack in AODV
protocol for MANET
ABSTRACT
Mobile ad hoc network is dynamic in nature and vulnerable for several attacks to
be arising in it. Mobile nodes frequently disconnect and join the network; they can
arbitrarily moves from one place to another. There are several attacks in MANET. One
of the attacks is Black hole attack, it is a kind of active attack, it drops the entire
incoming packet between one source and destination. Black Hole nodes or Black Holes
actually send a fake RREP packet and advertise itself as the shortest route is found.
Sender starts transmitting packets to Black Hole, But packet do not reach the
destination node on account of this attack and data packets are also lost .In our work we
tried to secure the AODV protocol, so that it can withstand the attack by adding an
IDS_node to AODV protocol. We have seen that packet drop ratio is decreased by
desirable amount. This will help to improve the performance of Mobile Ad hoc network
and decrease the Packet loss ratio, which increased due to the attack. There is lots of
detection and defense mechanisms to eliminate the intruder that carry out the Black
Hole attack. In this system, we simulated the attack in various wireless ad-hoc network
scenarios and have tried to find a response system in simulations.
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