Trust Aware Weighted Infomax Boosting Classification Based Homomorphic Okamoto–Uchiyama Cryptosystem for Secured Data Routing in Manet

Abstract

A Mobile Ad hoc Network (MANET) is a set of the self-configurable mobile node connected
via wireless links. In MANET, the major problem in MANETs is the security due to the open
nature and no fixed topology of the MANET environment. Data routed from the source to the
destination node are to be protected from malicious users. A novel Trust Aware Adaptive
Infomax Boost Classification Based Random Homomorphic Okamoto–Uchiyama
Cryptosystem (TAAIBC-RHOUC) is introduced with a higher security level. In TAAIBCRHOUC,
the trust value is calculated for a node to perform the secured routing. Then the
Weighted Adaptive Infomax Boosting technique is used to classify the mobile nodes based
on the behavior (i., trust value). Experimental evaluation is carried out on factors such as
packet delivery ratio, packet drop rate, delay, throughput, and jitter. The discussed
quantitative results indicate that the proposed TAAIBC-RHOUC improves the performance
in terms of achieving a higher packet delivery ratio, throughput, and lesser drop rate, delay,
and jitter when compared to the state-of-the-art works.