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    A forensic investigation of the robot operating system

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    Authors
    Abeykoon, Iroshan
    Feng, Xiaohua
    Affiliation
    University of Bedfordshire
    Issue Date
    2018-02-01
    Subjects
    robot operating system
    forensics tool kit
    computer emergency response team
    Association of Chief Police Officers
    H671 Robotics
    
    Metadata
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    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.
    Citation
    Abeykoon I, Feng X (2018) 'A forensic investigation of the robot operating system', 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) - Exeter, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/623859
    DOI
    10.1109/iThings-GreenCom-CPSCom-SmartData.2017.131
    Additional Links
    https://ieeexplore.ieee.org/abstract/document/8276850
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781538630655
    ae974a485f413a2113503eed53cd6c53
    10.1109/iThings-GreenCom-CPSCom-SmartData.2017.131
    Scopus Count
    Collections
    Computing

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