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MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach
Summary
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach is a scholarly article[1].
Key Facts
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/mga-ids-optimal-feature-subset-selection-for-anomaly-detection-framework-on-in-vehicle-networks-can-bus-based-on-genetic
MLA“MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mga-ids-optimal-feature-subset-selection-for-anomaly-detection-framework-on-in-vehicle-networks-can-bus-based-on-genetic.
BibTeX@misc{4ortxyz_mga-ids-optimal-feature-subset-selection-for-anomaly-detection-framework-on-in-vehicle-networks-can-bus-based-on-genetic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach}}, year = {2026}, url = {https://4ort.xyz/entity/mga-ids-optimal-feature-subset-selection-for-anomaly-detection-framework-on-in-vehicle-networks-can-bus-based-on-genetic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach — https://4ort.xyz/entity/mga-ids-optimal-feature-subset-selection-for-anomaly-detection-framework-on-in-vehicle-networks-can-bus-based-on-genetic (retrieved 2026-05-24)
