Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis

Research article (Journal of Information Security and Applications, 2023) · cited 14× · AI/ML
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Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis

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Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/detecting-vulnerabilities-in-iot-software-new-hybrid-model-and-comprehensive-data-analysis
MLA “Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detecting-vulnerabilities-in-iot-software-new-hybrid-model-and-comprehensive-data-analysis.
BibTeX @misc{4ortxyz_detecting-vulnerabilities-in-iot-software-new-hybrid-model-and-comprehensive-data-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-vulnerabilities-in-iot-software-new-hybrid-model-and-comprehensive-data-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis — https://4ort.xyz/entity/detecting-vulnerabilities-in-iot-software-new-hybrid-model-and-comprehensive-data-analysis (retrieved 2026-05-24)

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