Topology Discovery in Software Defined Networks: Threats, Taxonomy, and State-of-the-Art

Khan, Suleman, Gani, Abdullah, Abdul Wahab, Ainuddin Wahid, Guizani, Mohsen and Khan, Muhammad Khurram (2016) Topology Discovery in Software Defined Networks: Threats, Taxonomy, and State-of-the-Art. IEEE Communications Surveys & Tutorials, 19 (1). pp. 303-324. ISSN 1553-877X

Full text not available from this repository.

Abstract

The fundamental role of the software defined networks (SDNs) is to decouple the data plane from the control plane, thus providing a logically centralized visibility of the entire network to the controller. This enables the applications to innovate through network programmability. To establish a centralized visibility, a controller is required to discover a network topology of the entire SDN infrastructure. However, discovering a network topology is challenging due to: 1) the frequent migration of the virtual machines in the data centers; 2) lack of authentication mechanisms; 3) scarcity of the SDN standards; and 4) integration of security mechanisms for the topology discovery. To this end, in this paper, we present a comprehensive survey of the topology discovery and the associated security implications in SDNs. This survey provides discussions related to the possible threats relevant to each layer of the SDN architecture, highlights the role of the topology discovery in the traditional network and SDN, presents a thematic taxonomy of topology discovery in SDN, and provides insights into the potential threats to the topology discovery along with its state-of-the-art solutions in SDN. Finally, this survey also presents future challenges and research directions in the field of SDN topology discovery.

Item Type:	Article
Uncontrolled Keywords:	Topology discovery, software defined networks security, vulnerabilities, topology poisoning, controller visibility
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	23 Oct 2019 15:53
Last Modified:	23 Oct 2019 15:53
URI:	http://nrl.northumbria.ac.uk/id/eprint/41214

Downloads