Deep transfer learning framework for the identification of malicious activities to combat cyberattack

Research article (Future Generation Computer Systems, 2021) · cited 46× · AI/ML
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Deep transfer learning framework for the identification of malicious activities to combat cyberattack

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Deep transfer learning framework for the identification of malicious activities to combat cyberattack is a scholarly article[1].

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  • Deep transfer learning framework for the identification of malicious activities to combat cyberattack's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep transfer learning framework for the identification of malicious activities to combat cyberattack. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-transfer-learning-framework-for-the-identification-of-malicious-activities-to-combat-cyberattack
MLA “Deep transfer learning framework for the identification of malicious activities to combat cyberattack.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-transfer-learning-framework-for-the-identification-of-malicious-activities-to-combat-cyberattack.
BibTeX @misc{4ortxyz_deep-transfer-learning-framework-for-the-identification-of-malicious-activities-to-combat-cyberattack_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep transfer learning framework for the identification of malicious activities to combat cyberattack}}, year = {2026}, url = {https://4ort.xyz/entity/deep-transfer-learning-framework-for-the-identification-of-malicious-activities-to-combat-cyberattack}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep transfer learning framework for the identification of malicious activities to combat cyberattack — https://4ort.xyz/entity/deep-transfer-learning-framework-for-the-identification-of-malicious-activities-to-combat-cyberattack (retrieved 2026-05-24)

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