Published: 31 Dec 2024
Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks
Volume 1
-
Senthil Kumar Jagatheesaperumal
senthilkumarj@mepcoeng.ac.in -
Mohamed Rahouti
mrahouti@fordham.edu -
Mohammed Aledhari
mohammed.aledhari@unt.edu -
Abdelatif Hafid
a.hafid@esisa.ac.ma -
Diogo Oliveira
dko5179@psu.edu -
Hamza Drid
h.drid@univ-batna2.d -
Ruhul Amin
mamin17@fordham.edu
The explosive growth of the Internet of Things (IoT) has significantly increased networked devices within distributed and heterogeneous networks. Due to these networks’ inherent vulnerabilities and diversity, the proliferation of IoT devices presents substantial security challenges. Traditional security solutions face challenges in keeping up with the constantly changing threats in dynamic situations. This article reviews the application of distributed Reinforcement Learning approaches to enhance IoT security in dispersed and heterogeneous..
