Iqbal, F, Kazim, A, MacDermott, Á, Ikuesan, R, Hasan, M and Marrington, A (2024) Forensic Investigation of Humanoid Social Robot: A Case Study on Zenbo Robot. In: Proceedings of the 19th International Conference on Availability, Reliability and Security (194). pp. 1-9. (ARES 2024: The 19th International Conference on Availability, Reliability and Security, Jul 30th - Aug 2nd 2024, Vienna, Austria).

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Abstract

The Internet of Things (IoT) plays a significant role in our daily lives as interconnection and automation positively impact our societal needs. In contrast to traditional devices, IoT devices require connectivity and data sharing to operate effectively. This interaction necessitates that data resides on multiple platforms and often across different locations, posing challenges from a digital forensic investigator's perspective. Recovering a full trail of data requires piecing together elements from various devices and locations. IoT-based forensic investigations include an increasing quantity of objects of forensic interest, the uncertainty of device relevance in terms of digital artifacts or potential data, blurry network boundaries, and edgeless networks, each of which poses new challenges for the identification of significant forensic artifacts. One example of the positive societal impact of IoT devices is that of Humanoid robots, with applications in public spaces such as assisted living, medical facilities, and airports. These robots use IoT to provide varying functionality but rely heavily on supervised learning to customize their utilization of the IoT to various environments. A humanoid robot can be a rich source of sensitive data about individuals and environments, and this data may assist in digital investigations, delivering additional information during a crime investigation. In this paper, we present our case study on the Zenbo Humanoid Robot, exploring how Zenbo could be a witness to a crime. In our experiments, a forensic examination was conducted on the robot to locate all useful evidence from multiple locations, including root-level directories using logical acquisition.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	ACM
SWORD Depositor:	A Symplectic
Date Deposited:	31 Jul 2024 12:14
Last Modified:	31 Jul 2024 12:14
DOI or ID number:	10.1145/3664476.3670906
URI:	https://researchonline.ljmu.ac.uk/id/eprint/23839

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