A Comprehensive Research on Deep Learning Based Routing Optimization Algorithms in Software Defined Networks

Title

A Comprehensive Research on Deep Learning Based Routing Optimization Algorithms in Software Defined Networks

Creator

Kumar G.; Girisha G.S.; Shamanth N.

Description

Discovering an optimal routing in Software Defined Networks (SDNs) is challenging due to several factors like scalability issues, interoperability, reliability, poor configuration of controllers and security measures. The compromised SDN controller attacks at the control plane layer, packet losses in the topology and end-to-end delay are the most security risk factors in SDNs. To overcome this, in most of the existing researches, Deep Reinforcement Learning (DRL) algorithm with various optimization techniques was implemented for optimal routing in SDN by providing link weights to balance the end-to-end delay and packet losses. DRL used Deterministic Policy Gradient (DPG) method which acts as an actor-critic reinforcement learning agent that searches for an optimal policy to minimize the expected cumulative long-term reward. However, discovering an optimal routing with efficient security measures is still a major challenge in SDNs. This research proposes a detailed review of routing optimization algorithms in SDN using Deep Learning (DL) methods which supports the researchers in accomplishing a better solution for future research. 2023 IEEE.

Source

2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques, EASCT 2023

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Controller attacks; Deep Learning; Deterministic Policy Gradient; Optimal routing; Software defined networking

Coverage

Kumar G., Dayananda Sagar University, School of Engineering, Department of Computer Science and Engineering, Bengaluru, India; Girisha G.S., Dayananda Sagar University, School of Engineering, Department of Computer Science and Engineering, Bengaluru, India; Shamanth N., School of Engineering and Technology Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 979-835031341-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/EASCT59475.2023.10392911

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187281544&doi=10.1109%2fEASCT59475.2023.10392911&partnerID=40&md5=389089578a1127805a9ee051e8d71788