| Title | Empirical Study on Reconnaissance Attacks in SDN-Aware Network for Evaluating Cyber Deception |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Thu Hien, Do Thi, Do Hoang, Hien, Pham, Van-Hau |
| Conference Name | 2021 RIVF International Conference on Computing and Communication Technologies (RIVF) |
| Keywords | Communications technology, Computer hacking, cyber deception, Distance measurement, Intrusion detection, network architecture, Network reconnaissance, network systems, Penetration Testing, pubcrawl, Reconnaissance, reconnaissance attack, resilience, Resiliency, Scalability, SDN security, software-defined networking |
| Abstract | Thanks to advances in network architecture with Software-Defined Networking (SDN) paradigm, there are various approaches for eliminating attack surface in the largescale networks relied on the essence of the SDN principle. They are ranging from intrusion detection to moving target defense, and cyber deception that leverages the network programmability. Therein, cyber deception is considered as a proactive defense strategy for the usual network operation since it makes attackers spend more time and effort to successfully compromise network systems. In this paper, we concentrate on reconnaissance attacks in SDN-enabled networks to collect the sensitive information for hackers to conduct further attacks. In more details, we introduce SDNRecon tool to perform reconnaissance attacks, which can be useful in evaluating cyber deception techniques deployed in SDN-aware networks. |
| DOI | 10.1109/RIVF51545.2021.9642134 |
| Citation Key | thu_hien_empirical_2021 |
Empirical Study on Reconnaissance Attacks in SDN-Aware Network for Evaluating Cyber Deception