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Cyber-Physical Security in IoT-Enabled Autonomous Defense Systems: Threat Modeling and Response

Year: 2025

Type: article

Abstract: The convergence of Internet of Things (IoT) technologies with autonomous defense systems has created sophisticated cyber-physical systems (CPS) that present both unprecedented capabilities and unique security challenges. This paper provides a comprehensive analysis of cybersecurity threats, vulnerabilities, and defense mechanisms in IoTenabled autonomous defense systems. We examine threat modeling approaches, explore adaptive defense strategies, and evaluate the role of emerging technologies such as digital twins and artificial intelligence in enhancing system security. Through systematic analysis of current literature and empirical evidence, this research contributes to the understanding of security paradigms necessary for protecting critical autonomous defense infrastructure against evolving cyber threats.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17057905

Authors: OFOE, NICHOLAS TETTEH, AGBESI, JOY SELASI

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7080005180

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