Enhancing Kalman Filter Resilience in Electric Vehicles: Cyber-Attack Mitigation with Adaptive Filtering & Anomaly Detection

One of 48 posters in the series: 2025 University Research Day available on this site.

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Description

This poster identifies enhancing Kalman filter resilience in electric vehicles: cyber-attack mitigation with adaptive filtering & anomaly detection. It was presented at UNT's University Research Day event on October 2, 2025 in Denton, Texas.

Physical Description

1 poster: ill.; 12 x 18 in.

Creation Information

Anderson, Bryan & Hossain, Gahangir October 2, 2025.

Context

This poster is part of the collection entitled: UNT Graduate Student Works and was provided by the University of North Texas to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 23 times. More information about this poster can be viewed below.

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University of North Texas

Established in 1890, the University of North Texas has grown to be one of the nation's largest public research universities. Offering more than 200 degree programs, the university honors diversity, caring, creativity, and innovation in order to empower students to thrive in a rapidly changing world.

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Titles

  • Main Title: Enhancing Kalman Filter Resilience in Electric Vehicles: Cyber-Attack Mitigation with Adaptive Filtering & Anomaly Detection
  • Series Title: 2025 University Research Day

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Description

This poster identifies enhancing Kalman filter resilience in electric vehicles: cyber-attack mitigation with adaptive filtering & anomaly detection. It was presented at UNT's University Research Day event on October 2, 2025 in Denton, Texas.

Physical Description

1 poster: ill.; 12 x 18 in.

Source

  • University of North Texas Research Day, October 2, 2025. Denton, Texas, United States.

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  • Accession or Local Control No: kf_resilience_in_ev_cyber_attack_poster
  • Archival Resource Key: ark:/67531/metadc2538535

Collections

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UNT Graduate Student Works

This collection houses graduate student works other than theses and dissertations. All materials have been previously accepted by a professional organization or approved by a faculty mentor. The collection includes, but is not limited to projects or problems in lieu of thesis, supplemental files associated with theses and dissertations, posters, recitals, presentations, articles, reviews, book chapters, exhibitions, and artwork. Some items in this collection are restricted to use by the UNT community.

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Creation Date

  • October 2, 2025

Added to The UNT Digital Library

  • Oct. 22, 2025, 7:38 a.m.

Description Last Updated

  • Nov. 20, 2025, 2:45 p.m.

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Past 30 days: 1
Total Uses: 23
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Anderson, Bryan & Hossain, Gahangir. Enhancing Kalman Filter Resilience in Electric Vehicles: Cyber-Attack Mitigation with Adaptive Filtering & Anomaly Detection, poster, October 2, 2025; (https://digital.library.unt.edu/ark:/67531/metadc2538535/: accessed August 14, 2026), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting University of North Texas.

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