A forensic investigation of robot operating system

Iroshan Abeykoon
,
Xiaohua Feng
,
Renxi Qiu

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

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.

Publication Information

Output type

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 368-372

Publication milestones

Published - 02/04/2018

Publication status

Published - 02/04/2018

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781538619551

Publication IDs

handle.net: 10547/624207
Scopus: 85048101513

Host publication title

IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing

Access to documents

10.1109/DASC-PICom-DataCom-CyberSciTec.2017.77

Handle.net

Persistent link

Publication metrics

Metrics

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citations

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Related Event

Title

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)

Description

Event type

Conference

Date

06/10/2017 - 10/10/2017

Location

Orlando