Detection Mechanism Using Transductive Learning and Support Vectors for Software-Defined Networks

Detection Mechanism Using Transductive Learning and Support Vectors for Software-Defined Networks

Gaganjot Kaur, Prinima Gupta, Yogesh Kumar
Copyright: © 2022 |Pages: 22
DOI: 10.4018/IJIRR.300293
Article PDF Download
Open access articles are freely available for download

Abstract

SDN has come up as a promising technology for a future network as a logically centralized controlled framework along with its physically distributed architecture isolating the control plane from sending data moving the entire choice capacity to the regulator. SDNs are turning out to be significant because of scalability, adaptability and testing. As SDN needs overhead for operation, it makes it as a target of Distributed Denial of service (DDoS) attacks. The extensive review in the existing literature survey provides results for small footprint of dataset causing over fitting of the classifier. In the survey it is also been observed that the KNN based algorithms to detect DDOS attacks are lazy learners resulting in the noisy data. This paper proposes a Dual Probability Transductive Confidence Machines and Support Vector Machine (DPTCM-SVM) classifier to avoid the over-fitting for detecting DDoS in SDN. The results generated for detection are more than 98% for all the attack classes making it an Eager Learning System which requires less learning space unlike the Lazy Learning Systems.
Article Preview
Top

Introduction

Now a days, SDN (Shin, M. K., Nam, K. H., & Kim, H. J, 2012) (Kim, H., & Feamster, N. 2013) is gaining huge attraction from both the field of industry and academics area by emerging as a new network management concept. The traditional distributed network management paradigm has been replaced by the centralized control platform. SDN put forwards many prospects and methods for new network management. One essential objective of SDN is to permit a system controller, called the control plane, to ignore and deal with the whole system by designing steering instruments for hidden switches. The switches, additionally called the information plane, are exclusively liable for information sending as indicated by their sending tables. Directing calculation and system the board, are dealt with by the controller. The principal motivation behind the software defined network is to move data starting with one plane then onto the next. SDN switches are constrained by a network operating system (NOS) framework that gathers data utilizing the API and controls their sending plane, giving a theoretical model of the organization geography to the SDN regulator facilitating the applications.

Figure 1.

Architecture of SDN (Devlic, A., John, W., & Sköldström, P, 2012)

IJIRR.300293.f01

Open Network Foundation (Devlic, A., John, W., & Sköldström, P, 2012) presents an elevated level engineering for SDN which are primarily part into three fundamental useful layers including framework layer, control layer and application layer as appeared in Fig. 1. It contains three principle layers: the foundation layer which bolsters the information plane activity, the control layer, and the application layers which are:

  • 1.

    Infrastructure Layer (Southbound): Also referred as data plane, it comprises basically of Forwarding Elements (FEs) including physical switches, for example, virtual switches and Open vSwich. These switches are accessible by methods for an open interface to switch and forward groups (Devlic, A., John, W., & Sköldström, P, 2012).

  • 2.

    Control Layer: The Control Layer is otherwise called the control plane, it comprises of a lot of programming based SDN controllers giving a merged control usefulness through open APIs to manage the system sending conduct through an open interface. Three correspondence interfaces permit the controllers to connect: southbound, northbound and east/westward interfaces (Devlic, A., John, W., & Sköldström, P, 2012).

  • 3.

    Application Layer (Northbound): It primarily comprises of the end-client business applications that expend the SDN interchanges and system administrations. Instances of such business applications incorporate system virtualization, versatility the board, and security application, etc. (Devlic, A., John, W., & Sköldström, P, 2012).

Figure 2.

SDN functional layers (Cui, L., Yu, F. R., & Yan, Q, 2016)

IJIRR.300293.f02

Complete Article List

Search this Journal:
Reset
Volume 14: 1 Issue (2024)
Volume 13: 1 Issue (2023)
Volume 12: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 11: 4 Issues (2021)
Volume 10: 4 Issues (2020)
Volume 9: 4 Issues (2019)
Volume 8: 4 Issues (2018)
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing