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IoTVT Model: A Model Mapping IoT Sensors to IoT Vulnerabilities and Threats
2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)
  • Mathew Nicho, Zayed University
  • Shini Girija
Document Type
Conference Proceeding
Publication Date
12-22-2021
Abstract

The Internet of Things (IoT), which has accelerated the digital transformation technology revolution, has enabled cyber-physical digital transformation strategies and accelerated business automation. In a Covid-19 related Harvard Business Review study, 95 per cent of executives agreed that digital transformation strategies had become increasingly important. This highlights the critical importance of being prepared for IoT vulnerabilities and attacks. Mapping IoT devices to identify their vulnerabilities and attack allows academics and practitioners to identify, analyze, and mitigate IoT-related concerns. In this paper, we categorize IoT sensors, their IoT related vulnerabilities, and the IoT attacks that affect them and propose a model that maps the relationships among them. Our model provides valuable insights into IoT attack vectors and associated vulnerabilities with consumer IoT devices.

Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Disciplines
Indexed in Scopus
No
Open Access
No
https://doi.org/10.1109/iucc-cit-dsci-smartcns55181.2021.00032
Citation Information
Mathew Nicho and Shini Girija. "IoTVT Model: A Model Mapping IoT Sensors to IoT Vulnerabilities and Threats" 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) Vol. 00 (2021)
Available at: http://works.bepress.com/mathew-nicho/16/