Enhancing IoRT Security: A Unified Approach to Threat Identification, Prioritization, and Mitigation

DOI

10.2991/978-94-6239-768-2_10How to use a DOI?

Keywords

Robotic security; Threat Modeling; STRIDE; DREAD; Threat Mitigation

Abstract

The Internet of Robotic Things (IoRT) is an anticipated integration of robotic systems with interconnected communications that enable independent and intelligent exchange in multiple domains. Such interconnectivity, however, also has serious concerns related to cybersecurity, necessitating advanced approaches to threat modeling. Such a hybrid method tailored for IoRT, appropriate for systematic identification of threats through STRIDE, threat prioritization based on the severity of impact through DREAD, and subsequent organized mitigation using attack trees along with attack-defense trees, is adopted in the present paper. By employing this hybrid methodology, we establish a robust framework that addresses security at multiple levels. This process includes identifying potential threats, prioritizing them according to their severity, and devising effective defenses. Our findings suggest that this approach offers a more comprehensive assessment of vulnerabilities and stronger mitigation strategies compared to traditional single-method approaches. This extensive methodology is designed to enhance the security of Robotic systems and their applications across various fields, ensuring the resilient and secure deployment of robotic systems within interconnected environments.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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TY  - CONF
AU  - Neha Koul
AU  - Neerendra Kumar
AU  - Arvind Selwal
AU  - Narinder Verma
PY  - 2026
DA  - 2026/09/07
TI  - Enhancing IoRT Security: A Unified Approach to Threat Identification, Prioritization, and Mitigation
BT  - Proceedings of the Third International Conference on Recent Advances in Computing Sciences (RACS 2025)
PB  - Atlantis Press
SP  - 83
EP  - 96
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-768-2_10
DO  - 10.2991/978-94-6239-768-2_10
ID  - Koul2026
ER  -