Enhancing AppAuthentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications

Enhancing AppAuthentix recommender systems using advanced machine learning techniques to identify genuine and counterfeit android applications

Smartphone app expansion needs strict security measures to avoid fraud and danger. This study overcomes this issue by identifying apps differently. This new solution uses convolutional neural network (CNN), natural language processing (NLP), and the strong AppAuthentix Recommender algorithm to secur...

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Detaylı Bibliyografya
Asıl Yazarlar: Ramnath M., Yesubai Rubavathi C.
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: PeerJ Inc. 2024-11-01
Seri Bilgileri:PeerJ Computer Science
Konular:
AppAuthentix recommender
App identification
Convolutional Neural Networks (CNN)
Counterfeit apps
Mobile applications
Natural Language Processing (NLP)
Online Erişim:https://peerj.com/articles/cs-2515.pdf

Internet

https://peerj.com/articles/cs-2515.pdf

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