Suresh, A (2019) A Trust Based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing. International Journal of Innovative Technology and Exploring Engineering, 8 (11). pp. 3536-3543. ISSN 2278-3075

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The Mobile Ad hoc Network (MANET) is the
collection of some mobile devices that communicate with one
another without any help from a centralized administration. For
this, the energy is an important issue that has to be addressed
since the ad-hoc network nodes have a limited battery power. A
secure routing in the MANETs is an area of research that is
emerging. The designing of a security protocol which is
trustworthy for the ad hoc routing is an extremely challenging
task owing to all its unique traits. Due to its minimal
configuration and its quick deployment, the MANETs are found
to be well-suited for situations in the case of an emergency such as
the natural disasters or the military applications. This way, a
transfer of data among two nodes need some security. A MANET
black-hole attack will occur owing to the malicious nodes
attracting data packets by means of a false advertisement of a
fresh route to its destination. For this work, the trust-based
routing along with the packet forwarding probability. For this
work, the Ad hoc On-Demand Multipath Distance Vector Routing
(AOMDV) protocol is used and for finding the routing path a trust
value will be piggybacked with a route request packet. There was
yet another novel algorithm for optimization known as the Group
Search Optimizer (GSO) algorithm that was proposed inspired by
the behaviour of animals. This GSO-AOMDV was for the purpose
of improving the performance of the network. The results of the
experiment proved that this method proposed could achieve a
better performance compared to the other methods

Item Type: Article
Uncontrolled Keywords: Adhoc on-Demand Multipath Distance Vector Routing (AOMDV), Black Hole Attack, Group Search Optimization (GSO), Security, Trust and Mobile Ad hoc Network (MANET,.
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 15 Jul 2022 04:39
Last Modified: 15 Jul 2022 04:39

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