A comprehensive security assessment framework for software-defined networks. Issue 91 (April 2020)

• Record Type: Journal Article
• Authors: Lee, Seungsoo; Kim, Jinwoo; Woo, Seungwon; Yoon, Changhoon; Scott-Hayward, Sandra; Yegneswaran, Vinod; Porras, Phillip; Shin, Seungwon
• Is Part Of: Computers & security. Issue 91(2020)
• Publication Date: 2020-04
• Subjects: Software-Defined Networking -- Security -- Network security -- Penetration testing; Computer security -- Periodicals; Electronic data processing departments -- Security measures -- Periodicals; 005.805
• DOI: 10.1016/j.cose.2020.101720
• Languages: English
• ISSNs: 0167-4048

Abstract

Abstract: As Software-Defined Networking (SDN) is getting popular, its security issue is being magnified as a new controversy, and this trend can be found from recent studies of presenting possible security vulnerabilities in SDN. Understanding the attack surface of SDN is necessary, and it is the starting point to make it more secure. However, most existing studies depend on empirical methods in different environments, and thus they have stopped short of converging on a systematic methodology or developing automated systems to rigorously test for security flaws in SDNs. Therefore, we need to disclose any possible attack scenarios in diverse SDN environments and examine how these attacks operate in those environments. Inspired by the necessity for disclosing the vulnerabilities in diverse SDN operating scenarios, we suggest an SDN penetration tool, DELTA, to regenerate known attack scenarios in diverse test cases. Furthermore, DELTA can even provide a chance of discovering unknown security problems in SDN by employing a fuzzing module. In our evaluation, DELTA successfully reproduced 26 known attack scenarios, across diverse SDN controller environments, and also discovered 9 novel SDN application mislead attacks.