Enhancing the Security of Software-Defined Networking through Forensic Memory Analysis

Abstract

The increasing complexity and dynamic nature of software-defined networking (SDN) environments pose significant challenges for network security. We propose a methodology for enhancing the security of SDN systems through the use of a well established technique in forensic sciences, the memory analysis, combined with techniques to identify memory modifications, such as signature validation and novelty detection. A proof of concept using a test environment consisting of virtual switches, connected in a ring topology, and hosts validated the proposed methodology. The results were able to demonstrate the capability of the proposed methodology to detect and mitigate unauthorized changes in network equipment, highlighting its potential to improve the security of SDN networks, and possible integration with other methodologies to further improve the security of SDN environments. Overall, the proposed methodology provides a new valuable tool for securing SDN networks, and brings research opportunities on the scalability and adaptability of the proposed solution.