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...

Полное описание

Библиографические подробности
Главные авторы: Ramnath M., Yesubai Rubavathi C.
Формат: Статья
Язык:English
Опубликовано: PeerJ Inc. 2024-11-01
Серии:PeerJ Computer Science
Предметы:
AppAuthentix recommender
App identification
Convolutional Neural Networks (CNN)
Counterfeit apps
Mobile applications
Natural Language Processing (NLP)
Online-ссылка:https://peerj.com/articles/cs-2515.pdf

Internet

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

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