Citation

Ali, Sameer and Tan, Saw Chin and Lee, Ching Kwang and Yusoff, Zulfadzli and Haque, Muhammad Reazul and Mylonas, Alexios and Pitropakis, Nikolaos (2023) AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks. Sensors, 23 (21). p. 8922. ISSN 1424-8220

Text 7.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a controller as its “network brain” located at the control plane. This uniquely distinguishes it from the traditional networking paradigms because it provides a global view of the entire network. In SDN, the controller can become a single point of failure, which may cause the whole network service to be compromised. Also, data packet transmission between controllers and switches could be impaired by natural disasters, causing hardware malfunctioning or Distributed Denial of Service (DDoS) attacks. Thus, SDN controllers are vulnerable to both hardware and software failures. To overcome this single point of failure in SDN, this paper proposes an attack-aware logical link assignment (AALLA) mathematical model with the ultimate aim of restoring the SDN network by using logical link assignment from switches to the cluster (backup) controllers. We formulate the AALLA model in integer linear programming (ILP), which restores the disrupted SDN network availability by assigning the logical links to the cluster (backup) controllers. More precisely, given a set of switches that are managed by the controller(s), this model simultaneously determines the optimal cost for controllers, links, and switches.

Item Type:	Article
Uncontrolled Keywords:	Internet of things
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI) Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Dec 2023 00:58
Last Modified:	01 Dec 2023 00:58
URII:	http://shdl.mmu.edu.my/id/eprint/11881

Downloads

Edit (login required)