Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis

Research article (Journal of Database Management, 2023) · cited 23× · AI/ML
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Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis

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Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/android-iot-malware-classification-and-detection-approach-using-deep-url-features-analysis
MLA “Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/android-iot-malware-classification-and-detection-approach-using-deep-url-features-analysis.
BibTeX @misc{4ortxyz_android-iot-malware-classification-and-detection-approach-using-deep-url-features-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/android-iot-malware-classification-and-detection-approach-using-deep-url-features-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis — https://4ort.xyz/entity/android-iot-malware-classification-and-detection-approach-using-deep-url-features-analysis (retrieved 2026-05-24)

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