A Forensic Investigation of Robot Operating System

Abstract

The robot operating system for robot which is still relatively new, is rapidly gaining robot manufacture industry market share with dozens of robots and drons either released or set to be released. In this paper we present the first methodology and toolset for acquisition and deep analysis of volatile physical memory from robot operating system devices. The article discusses some of the challenges in performing ros memory acquisition, discusses. For memory forensics we used Lime, volatility memory framework and DD command. The acquisition tool supports dump memory to either exterl drive or via the network.