1 research outputs found
An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks
MANETs (Mobile Ad-hoc Networks) is a temporal network, which is managed by
autonomous nodes, which have the ability to communicate with each other without
having fixed network infrastructure or any central base station. Due to some
reasons such as dynamic changes of the network topology, trusting the nodes to
each other, lack of fixed substructure for the analysis of nodes behaviors and
loss of specific offensive lines, this type of networks is not supportive
against malicious nodes attacks. One of these attacks is black hole attack. In
this attack, the malicious nodes absorb data packets and destroy them. Thus, it
is essential to present an algorithm against the black hole attacks. This paper
proposed a new approach, which improvement the security of DSR routing protocol
to encounter the black hole attacks. This schema tries to identify malicious
nodes according to nodes behaviors in a MANETs and isolate them from routing.
The proposed protocol, called AIS-DSR (Artificial Immune System DSR) employ AIS
(Artificial Immune System) to defend against black hole attacks. AIS-DSR is
evaluated through extensive simulations in the ns-2 environment. The results
show that AIS-DSR outperforms other existing solutions in terms of throughput,
end-to-end delay, packets loss ratio and packets drop ratio.Comment: 19 pages, 12 figures, Journa