Evaluating Security Risks And Vulnerabilities In Mobile Ad-Hoc Network

Abstract

The wireless communication channel is concerned primarily with security of
data in location-based services (LBS). With wireless technology becoming increasingly
popular, greater emphasis is given to protecting location and traffic data to secure the data.
To encrypt and secure MANET as well as communication networks, there are quite a
variety of developed confidentiality frameworks depending on geographical location,
including the k-anonymity location, however because of the complex mobility of mobile
ad-hoc networks the mechanisms are far more cluttering. In this study, we suggested a
procedure for adaptive risk prediction to forecast the risk even before an unidentified
message is processed. The suggested method measures risk for neighboring nodes as well
as evaluates the pathways with decision tree for vulnerability. The decision-tab establishes
proofs for the trustworthy routes. We also implemented the network by taking into account
multiple attacks in order to assess the utility of MANET-Adaptive Risk Management
(man-ARM) with NS2 simulations.