AffiliationUniversity of Bedfordshire
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Other TitlesIEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing
AbstractThe 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.
CitationAbeykoon I, Feng X, Qiu R (2018) 'A forensic investigation of robot operating system', 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) - Orlando, Institute of Electrical and Electronics Engineers Inc..
TypeConference papers, meetings and proceedings