.

ISSN 2063-5346
For urgent queries please contact : +918130348310

PERFORMANCE EVALUATION OF FEATURE SELECTION METHOD FOR MACHINE LEARNING ALGORITHMS TO DETECT WORMHOLE ATTACK IN MANETS: A SURVEY

Main Article Content

K. Gayathri, Dr. R. Vidyabanu
» doi: 10.48047/ecb/2023.12.8.757

Abstract

Mobile Ad hoc Networks (MANETs) have received a lot of interest because of their dynamic topology and decentralized nature, which makes them appropriate for a wide range of applications. However, since MANETs lack a stable infrastructure, they are vulnerable to a variety of security concerns, including the devious wormhole attack. Malicious nodes provide a high-speed connection between distant sections of the network, allowing for speedy unauthorized data movement.

Article Details