Data Protection and Data Recovery Plan for IoT Transportation Domain

Syed Rizvi, Anthony Hammill, Hans Esteban, Mark Ihnat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The field of transportation is vital for maintaining connectivity, facilitating trade, and ensuring the functioning of a country. In the present era, entities such as the Department of Transportation (DoT) have increasingly integrated IT technology, particularly the Internet of Things (IoT) devices, into their operations. IoT devices have become pivotal and extensively utilized in the transportation sector. However, it is important to recognize that no IoT device is exempt from potential risks. This paper aims to establish a comprehensive risk management (RM) framework and conduct a business impact analysis (BIA) with respect to safeguarding critical IoT infrastructure within a transportation-related context. Therefore, the primary objective of this research is to enhance the security and resilience of IoT devices within the transportation sector by implementing a proactive risk management approach. By prioritizing risk mitigation and developing a comprehensive plan for data protection and recovery, the DoT and other transportation entities can ensure the uninterrupted operation of their IoT infrastructure, thereby maximizing the benefits of IoT technology while minimizing potential risks.

Original languageEnglish (US)
Title of host publication2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335590
DOIs
StatePublished - 2023
Event2023 International Symposium on Networks, Computers and Communications, ISNCC 2023 - Doha, Qatar
Duration: Oct 23 2023Oct 26 2023

Publication series

Name2023 International Symposium on Networks, Computers and Communications, ISNCC 2023

Conference

Conference2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Country/TerritoryQatar
CityDoha
Period10/23/2310/26/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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