Performance Evaluation of BDAG Aided Blockchain Technology in Clustered Mobile Ad-Hoc Network for Secure Data Transmission

In mobile ad-hoc network (MANET) environment, routing of data packets is a challenging task due to rapid changes in mobility and network topology. In addition, the security aspect of routing is disturbed by attacks caused by malicious nodes. These attacks greatly affect the Quality of Service. To overcome the challenges faced in routing message packets, the Bayesian Directed Acyclic Graph (B DAG) Aided Blockchain model is proposed for clustered MANET environment. The proposed model encompasses the following processes: (i) Multi factor authentication of users by using BLISS algorithm. This step involves acquisition of user credentials and generates hash values for those credentials using Cube Hash algorithm. These hash values are further used to generate public and private keys by BLISS algorithm, (ii) Weighted sum computation for clustering to reduce complexity in the MANET environment. Cluster head (CH) and cluster member (CM) are classified based on energy status, geometric distance, link quality and direction, (iii) A secure AODV based routing protocol using Dolphin Swarm Optimization (DSO) algorithm. This step involves selection of reputed node based on link stability, relative velocity, available bandwidth, energy, queue length, and trust. The packet forwarding is based on the reputation value of the node, by which the trust provided by malicious nodes are eliminated to improve security and (iv) Bayesian DAG aided blockchain, in which the user authenticity, data integrity of packets and signature are verified to mitigate the routing attacks created by nodes in the MANET environment. The proposed model is experimented in NS 3.26 network simulator tool and its performance in terms of multiple QoS metrics is evaluated.

@article{Harikrishnan2021,
  title     = {Performance Evaluation of BDAG Aided Blockchain Technology in Clustered Mobile Ad-Hoc Network for Secure Data Transmission},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {12},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {B. Harikrishnan and T. Balasubaramanian},
  doi       = {10.14569/IJACSA.2021.01212116},
  url       = {https://doi.org/10.14569/IJACSA.2021.01212116}
}