Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi dataset Article Swipe
Alison M. Roy
,
Debotosh Bhattacharjee
,
Ondřej Krejcar
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.dib.2025.111599
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.dib.2025.111599
The Vehicular Reference Misbehavior Dataset (VeReMi) is a vital resource for advancing Intelligent Transportation Systems (ITS) and the Internet of Vehicles (IoV). However, its large size (∼7 GB) and inherent class imbalance pose significant challenges for machine learning model development. This paper presents a preprocessing framework to enhance VeReMi's usability and relevance. Through 10 % down-sampling, the dataset was reduced to ∼724MB, making it computationally manageable. Biases were addressed by balancing benign and malicious samples through synthesis and identifying benign instances using predefined criteria. A refined feature set, including key attributes like rcvTime, pos_0, pos_1, and attack_type (renamed attacker_type), was selected to improve machine learning compatibility. This preprocessing pipeline effectively maintains data integrity and preserves the representativeness of malicious patterns. The optimized dataset is well-suited for ITS and IoV applications, such as anomaly detection and network security, underscoring the crucial role of preprocessing in overcoming real-world constraints and enhancing model performance.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.dib.2025.111599
- OA Status
- gold
- Cited By
- 1
- References
- 9
- Related Works
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- OpenAlex ID
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https://openalex.org/W4409885368Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.dib.2025.111599Digital Object Identifier
- Title
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Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi datasetWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-28Full publication date if available
- Authors
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Alison M. Roy, Debotosh Bhattacharjee, Ondřej KrejcarList of authors in order
- Landing page
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https://doi.org/10.1016/j.dib.2025.111599Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.dib.2025.111599Direct OA link when available
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The Internet, Computer science, Preprocessor, Research article, Data science, Information retrieval, Systematic review, World Wide Web, Data mining, MEDLINE, Artificial intelligence, Library science, Biology, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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