Forensic Investigation of Humanoid Social Robot: A Case Study on Zenbo Robot

Document Type

Conference Proceeding

Source of Publication

ACM International Conference Proceeding Series

Publication Date

7-30-2024

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.

ISBN

9798400717185

Publisher

ACM

Disciplines

Computer Sciences

Keywords

IoT devices, Digital forensic investigation, Humanoid robots, Zenbo Robot, Logical acquisition

Scopus ID

85200370185

Indexed in Scopus

yes

Open Access

no

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