Abstract

The rapid proliferation of Industrial Internet of Things (IIoT) devices has revolutionized industrial systems, but it has also introduced significant security challenges, particularly in firmware protection. This review examines the critical vulnerabilities associated with IIoT firmware, highlighting the pressing need for automated detection tools and robust hardening strategies. Foundational work in firmware security is discussed, alongside technological advancements such as static and dynamic analysis, machine learning, and policy-based frameworks. The paper evaluates emerging approaches to securing IIoT firmware, emphasizing their effectiveness in addressing real-world challenges. Practical recommendations for researchers and industry practitioners are provided, focusing on scalable solutions and collaborative efforts to bridge existing gaps. By exploring future directions, including integrating advanced tools and standardization efforts, this review aims to contribute to developing a resilient and secure IIoT ecosystem.