Samson Ogheneovo Oruma

• Oruma, Samson Ogheneovo; Ayele, Yonas Zewdu; Sechi, Fabien & Rødsethol, Hanne Kristine (2023). Security Aspects of Social Robots in Public Spaces: A Systematic Mapping Study. Sensors. ISSN 1424-8220. 23(19), p. 1–29. doi: 10.3390/s23198056. Full text in Research Archive Show summary

  Background: As social robots increasingly integrate into public spaces, comprehending their security implications becomes paramount. This study is conducted amidst the growing use of social robots in public spaces (SRPS), emphasising the necessity for tailored security standards for these unique robotic systems. Methods: In this systematic mapping study (SMS), we meticulously review and analyse existing literature from the Web of Science database, following guidelines by Petersen et al. We employ a structured approach to categorise and synthesise literature on SRPS security aspects, including physical safety, data privacy, cybersecurity, and legal/ethical considerations. Results: Our analysis reveals a significant gap in existing safety standards, originally designed for industrial robots, that need to be revised for SRPS. We propose a thematic framework consolidating essential security guidelines for SRPS, substantiated by evidence from a considerable percentage of the primary studies analysed. Conclusions: The study underscores the urgent need for comprehensive, bespoke security standards and frameworks for SRPS. These standards ensure that SRPS operate securely and ethically, respecting individual rights and public safety, while fostering seamless integration into diverse human-centric environments. This work is poised to enhance public trust and acceptance of these robots, offering significant value to developers, policymakers, and the general public.

• Oruma, Samson Ogheneovo (2023). Towards a User-centred Security Framework for Social Robots in Public Spaces. In Babar, Muhammad Ali (Eds.), EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering. Association for Computing Machinery (ACM). ISSN 979-8-4007-0044-6. p. 292–297. doi: https:/doi.org/10.1145/3593434.3593446. Full text in Research Archive Show summary

  The use of social robots in public spaces is becoming increasingly popular due to their ability to provide personalized services to users. However, the convergence of different technologies and software applications has raised concerns regarding security requirements, standards, and regulations. Specifically, there are significant concerns about the evolving threat landscape for software applications in public settings, where social robots interact without supervision and are in direct contact with threat actors. During the development of social robots software, developers and practitioners need practical tools to continuously assess their products’ security profiles. This paper presents a preventive approach to the dynamic evolving security landscape of Social Robots in Public Spaces (SRPS) using design science research (DSR) methodology to develop a security framework. The study investigates security threats, vulnerabilities, and risks associated with SRPS software development and analyzes existing related frameworks to design a security framework for SRPS software developers. The research aims to provide insights into the security aspects of SRPS software application development processes and contribute to developing effective security frameworks to mitigate evolving risks and ensure secure operation and acceptance in public spaces.

• Oruma, Samson Ogheneovo & Petrovic, Slobodan (2023). Security Threats to 5G Networks for Social Robots in Public Spaces: A Survey. IEEE Access. ISSN 2169-3536. 11, p. 63205–63237. doi: 10.1109/ACCESS.2023.3288338. Full text in Research Archive
• Oruma, Samson Ogheneova; Sánchez-Gordón, Mary; Colomo-Palacios, Ricardo; Gkioulos, Vasileios & Hansen, Joakim Klevmo (2022). A Systematic Review on Social Robots in Public Spaces: Threat Landscape and Attack Surface. Computers. ISSN 2073-431X. 11(12). doi: 10.3390/computers11120181. Full text in Research Archive

View all works in Cristin

• Nina, Fredheim; Ayele, Yonas Zewdu & Oruma, Samson Ogheneovo (2023). Forskere presenterte ARI for folk i Fredrikstad .

View all works in Cristin