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Evaluation of anomaly detection for in-vehicle networks through information-theoretic algorithms
Research article (2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016) · cited 137× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Evaluation of anomaly detection for in-vehicle networks through information-theoretic algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-anomaly-detection-for-in-vehicle-networks-through-information-theoretic-algorithms
MLA“Evaluation of anomaly detection for in-vehicle networks through information-theoretic algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-anomaly-detection-for-in-vehicle-networks-through-information-theoretic-algorithms.
BibTeX@misc{4ortxyz_evaluation-of-anomaly-detection-for-in-vehicle-networks-through-information-theoretic-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of anomaly detection for in-vehicle networks through information-theoretic algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-anomaly-detection-for-in-vehicle-networks-through-information-theoretic-algorithms}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of anomaly detection for in-vehicle networks through information-theoretic algorithms — https://4ort.xyz/entity/evaluation-of-anomaly-detection-for-in-vehicle-networks-through-information-theoretic-algorithms (retrieved 2026-05-24)