@article{284,
  author = {Lubna Luxmi Dhirani and Eddie Armstrong and Thomas Newe},
  title = {Industrial IoT, Cyber Threats, and Standards Landscape: Evaluation and Roadmap},
  abstract = {The authors are currently working on an Industry 4.0 cybersecurity project and the insights provided in this paper are derived from the project. This research enables an understanding of converged/hybrid cybersecurity standards, reviews the best practices, and provides a roadmap for identifying, aligning, mapping, converging, and implementing the right cybersecurity standards and strategies for securing M2M communications in the IIoT.},
  year = {2021},
  journal = {MDPI AG},
  month = {2021-06-05},
  issn = {1424-8220},
  url = {https://www.mdpi.com/1424-8220/21/11/3901},
  doi = {10.3390/s21113901},
  note = {Industrial IoT (IIoT) is a novel concept of a fully connected, transparent, automated, and intelligent factory setup improving manufacturing processes and efficiency. To achieve this, existing hierarchical models must transition to a fully connected vertical model. Since IIoT is a novel approach, the environment is susceptible to cyber threat vectors, standardization, and interoperability issues, bridging the gaps at the IT/OT ICS (industrial control systems) level. IIoT M2M communication relies on new communication models (5G, TSN ethernet, self-driving networks, etc.) and technologies which require challenging approaches to achieve the desired levels of data security. Currently there are no methods to assess the vulnerabilities/risk impact which may be exploited by malicious actors through system gaps left due to improper implementation of security standards.},
}