About

PIVOT

The University of Memphis, Colorado State University, and USC Information Sciences Institute are collaborating with commercial telematics service provider Geotab to build the Platform for Innovative use of Vehicle Open Telematics (PIVOT), a community-based platform intended to catalyze the production and consumption of automotive and heavy duty datasets and associated tools to support the NSF CISE community and others pursuing research in vehicle system cybersecurity, intelligent transportation, and smart and connected communities. The platform component of PIVOT is the hardware and software infrastructure needed to host the datasets, tools, and services. PIVOT will provide the research community with in-vehicle datasets, telematics data, an open source data repository, and new open source tools to help collect, process, and analyze data. The user services will employ existing privacy controls as well as enable researchers to further advance privacy approaches using PIVOT datasets.

The PIVOT project comprises five pillars of merit:

  1. Platform - A robust and reliable hardware/software platform upon which the system runs;
  2. Data - The curation and sharing of the data and contextual information;
  3. Services - Researcher-centric services for sharing, securing, and evaluating datasets;
  4. Tools - Common software-based tooling to collect, transform, combine, filter, and visualize the data; and
  5. Community - Extensive community outreach and engagement to improve the data utility using design feedback mechanisms.

PIVOT Infrastructure

The community will benefit from access to new, hard-to-get CAN and telematics datasets, new tools and tool add-ons to enhance researcher capabilities, and telematics from millions of vehicles through our commercial collaborator. The project will also strengthen the community by providing a forum to exchange ideas and resources, and help researchers form and expand collaboration teams.

The community component of PIVOT focuses on engagement, outreach, and feedback to create a synergistic system to support research efforts. Successful execution of this project will result in new datasets and tools available to the CISE community that will enable new, innovative research in automotive and transportation-related areas, and strengthen the research community through collaborations built around common datasets, tools, and industry involvement. PIVOT will provide artifacts to educate the next generation of automotive cyber engineers through classes in computer science (networking, security, machine learning, digital forensics) as well as classes in transportation and smart and connected communities. The project will emphasize diversity through efforts targeting minority institutions and underrepresented groups and by reaching out to students participating in the industry-sponsored CyberAuto Challenge and CyberTruck Challenge events. PIVOT will organize annual workshops to build and enhance community and support strong advances in automotive security, smart transportation, smart cities and communities, security, safety, privacy, sustainability, and energy.

Datasheet

For more information about the PIVOT project, see the PIVOT datasheet.

Proposal

You can also read the project summary and description from our NSF CCRI proposal.

Publications

2026

Carson Green, Rik Chatterjee, and Jeremy Daily. 2026. Denial of Service Vulnerabilities in Commercial Vehicles: Exploiting Diagnostic Protocol Flaws. ACM Trans. Cyber-Phys. Syst. 10, 1, Article 3 (January 2026), 25 pages. doi: 10.1145/3760787

2025

B. Shrestha, B. Acharya, J. Petit and C. Papadopoulos, Classification of Automated Driving Systems, MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM), Los Angeles, CA, USA, 2025, pp. 1154-1160, doi: 10.1109/MILCOM64451.2025.11310226.

Ala’a Al-Momani, David Balenson, Zoltán Ádám Mann, Sebastian Pape, Christoph Bösch, and Jonathan Petit, Lessons from a Robotaxi: Challenges in Selecting Privacy-Enhancing Technologies, To appear: Proceedings of the 2025 Data Privacy Management (DPM) Workshop, September 25, 2025.

Acharya, Bhargab, Christos Papadopoulos, and Spiros Thanasoulas. 2025. Telematics Data Collection from BeamNG with Openpilot Integration. Poster presented at the 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec ’25), August 11–12, 2025, Seattle, WA, USA. USENIX Association. https://www.usenix.org/conference/vehiclesec25/presentation/acharya-poster

Acharya, Bhargab, Christos Papadopoulos, and Spiros Thanasoulas. 2025. Telematics Data Collection from BeamNG with Openpilot Integration. Demo presented at the 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec ’25), August 11–12, 2025, Seattle, WA, USA. USENIX Association.

Bar-on, Maxwel, Hossein Shirazi, Indrakshi Ray, and Jeremy Daily. 2025. Lightweight Deep Learning for Cyber-Resilient Heavy Vehicles: Efficient Signal Reconstruction on Embedded Systems. In Proceedings of the 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec ’25), August 11–12, 2025, Seattle, WA, USA. USENIX Association.

S. Mukherjee, R. Chatterjee and J. Daily, TruckSentry: Context Aware Intrusion Detection and Prevention System for J1939 Networks, in IEEE Open Journal of Intelligent Transportation Systems, vol. 6, pp. 294-309, 2025, doi: 10.1109/OJITS.2025.3545474.

2024

C. Ghatak, R. Chatterjee, M. T. Span and J. Daily, A Systems Approach for Designing Open Vehicle Data Archiving Systems, 2024 IEEE International Symposium on Systems Engineering (ISSE), Perugia, Italy, 2024, pp. 1-8, doi: 10.1109/ISSE63315.2024.10741089.

Ala’a Al-Momani, David Balenson, Zoltán Ádám Mann, Sebastian Pape, Jonathan Petit, and Christoph Bösch, Navigating Privacy Patterns in the Era of Robotaxis, Proceedings of the 2024 International Workshop on Privacy Engineering (IWPE), July 8, 2024.

Jepson, Jake, Rik Chatterjee, and Jeremy Daily. 2024. Commercial Vehicle Electronic Logging Device Security: Unmasking the Risk of Truck-to-Truck Cyber Worms. In Proceedings of the 2024 Network and Distributed System Security (NDSS) Symposium. Internet Society.

Green, Carson, Rik Chatterjee, and Jeremy Daily. 2025. Exploiting Diagnostic Protocol Vulnerabilities on Embedded Networks in Commercial Vehicles. In Proceedings of the 2025 Network and Distributed System Security (NDSS) Symposium, 24–28 February 2025, San Diego, CA, USA. Internet Society.

David Balenson, Christos Papadopoulos, and Jeremy Daily, Poster: Platform for Innovative use of Vehicle Open Telematics (PIVOT), Symposium on Vehicles Security and Privacy (VehicleSec), February 26, 2024.

Acknowledgement and Disclaimer

This material is based upon work supported by the National Science Foundation under Grant Numbers 2213733, 2213735, and 2245323. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.