Artificial intelligence based load balancing in SDN: A comprehensive survey

AH Alhilali, A Montazerolghaem - Internet of Things, 2023 - Elsevier
In the future, it is anticipated that software-defined networking (SDN) will become the
preferred platform for deploying diverse networks. Compared to traditional networks, SDN …

The DAG blockchain: A secure edge assisted honeypot for attack detection and multi-controller based load balancing in SDN 5G

IH Abdulqadder, D Zou, IT Aziz - Future Generation Computer Systems, 2023 - Elsevier
Software-defined networking (SDN) has increased the need for security due to the
participation of illegitimate packets resulting from poor processing times and inadequate …

Clb: Coarse-grained precision traffic-aware weighted cost multipath load balancing on pisa

DD Robin, JI Khan - IEEE Transactions on Network and Service …, 2022 - ieeexplore.ieee.org
This paper presents CLB, a programmable switch-based general-purpose in-network load
balancer that can adapt to traffic changes at a very high speed. It uses Weighted-Cost …

Intelligent load balancing techniques in software defined networks: A systematic review

S Rout, SS Patra, P Patel… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In the current era of technology, the number of users connecting to the internet has
increased rapidly. If the situation is like Pandemic (COVID-19), the demand of the data …

Research of multipath routing and load balancing processes in software defined networks based on artificial bee colony algorithm

D Perepelkin, T Nguyen - 2022 ELEKTRO (ELEKTRO), 2022 - ieeexplore.ieee.org
Software defined network (SDN) is a cloud computing-oriented approach, that centralizes
network device administration, facilitates network management and enables efficient …

Enhancing load balancing by intrusion detection system chain on sdn data plane

N Niknami, J Wu - 2022 IEEE Conference on Communications …, 2022 - ieeexplore.ieee.org
The software-defined network (SDN) allows us to control network flows easily and
dynamically. Intrusion detection systems (IDS) are among the controller's applications. The …

[PDF][PDF] Detecting DDoS attacks in software defined networks using deep learning techniques: a survey

NP Mwanza, J Kalita - Int. J. Netw. Secur., 2023 - ijns.jalaxy.com.tw
Deep Learning (DL) is increasingly being used in Software Defined Networks (SDNs) to
detect Distributed Denial of Service (DDoS) attacks because of high attack detection …

Adaptive path selection algorithm with flow classification for software-defined networks

MN Yusuf, KA Bakar, B Isyaku, AH Osman, M Nasser… - Mathematics, 2023 - mdpi.com
Software-Defined Networking (SDN) is a trending architecture that separates controller and
forwarding planes. This improves network agility and efficiency. The proliferation of the …

LBTMA: An integrated P4-enabled framework for optimized traffic management in SD-IoT networks

A El-Sayed, W Said, A Tolba, Y Alginahi, AA Toony - Internet of Things, 2024 - Elsevier
This research introduces LBTMA, a novel framework for effective traffic management in
Internet of Things (IoT) networks employing software-defined networking (SDN). LBTMA …

Blue monkey updated chimp optimization algorithm for enhanced load balancing model

S Sharma, D Seth - Expert Systems with Applications, 2024 - Elsevier
Abstract Even though, Software Defined Networks (SDN) have exposed greater advantages
in a lot of aspects, still the issue related to load balancing (LB) exists like poor performance …