A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks

A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks

Mobile ad-hoc network is an assortment of distinct attribute-based mobile devices that are autonomous and are cooperative in establishing communication. These nodes exploit wireless links for communication that causes injection of the adversaries in the network. Therefore, detection and mitigation o...

Full description

Bibliographic Details
Main Authors: K. Sakthidasan Sankaran, N. Vasudevan, K. R. Devabalaji, Thanikanti Sudhakar Babu, Hassan Haes Alhelou, T. Yuvaraj
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Attack detection
behavior modeling
machine learning
MANET
reward function
Online Access:https://ieeexplore.ieee.org/document/9337807/

Internet

https://ieeexplore.ieee.org/document/9337807/

Similar Items