Affiliation
University of BedfordshireIssue Date
2018-02-01Subjects
robot operating systemforensics tool kit
computer emergency response team
Association of Chief Police Officers
H671 Robotics
Metadata
Show full item recordAbstract
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..Additional Links
https://ieeexplore.ieee.org/abstract/document/8276850Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781538630655ae974a485f413a2113503eed53cd6c53
10.1109/iThings-GreenCom-CPSCom-SmartData.2017.131