Skip to search boxSkip to navigationSkip to main content

A forensic investigation of the robot operating system

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well
  • SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Abstract

The Robot Operating System (ROS) is a framework that is mostly used in industrial applications such as automotive, healthcare and manufacturing and it is not immune from potential future hacking. By carrying out various types of cyber-attacks, hackers can disrupt the normal operation of a robot. It is easy to get control of communication between a robot and a human due to the open communication network after carrying out malicious attacks to jam the network. As a result, hackers can change commands which are sent by an operator to the robot, making usual activities impossible. For instance, in a case of ROS hacking, man-in-the-middle attacks, Trojans, backdoor attacks, and so on, can change the behaviour of robots to something completely different than expected.Therefore, forensic analysts require a specific method to forensically investigate ROS. This is a new area in the computer forensics field. Therefore, it is proposed to create an analytical framework to facilitate the forensic investigation of the Robot Operating System and methodologies and standards for acquiring related digital evidence using forensic tools. This study addresses a formalized and structured methodology that would assist the forensic investigation approach.This research will help to enhance the gathering, identification and preservation of evidence related to forensics investigations of the Robot Operating System. The forensic analysts could adapt the examination procedure of hacked ROS with a focused, crime-specific, forensics framework.

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 851-857

Publication milestones

  • Published - 01/02/2018

Publication status

Published - 01/02/2018

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781538630655

Publication IDs

  • handle.net: 10547/623859
  • Scopus: 85047336741

Host publication title

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)

Access to documents

Publication metrics