Ấn phẩm:
Evaluate the effectiveness of using cloud computing to deploy machine learning model
Nhan đề song song
Người hướng dẫn
Tác giả chính
Nguyen Huy Anh MSc.
Pham Hoang Nhat Nguyen
Pham Duc Cuong
Nguyen Xuan Mai Phuong
Le Thien Nhi
Pham Hoang Nhat Nguyen
Pham Duc Cuong
Nguyen Xuan Mai Phuong
Le Thien Nhi
Tác giả khác
Năm xuất bản
2024
Nhà xuất bản
Học viện Tài chính
Tóm tắt
This study explores the effectiveness of cloud-based retail environments, with a focus on Non traditional security challenges considering one of the aspects of effectiveness. Employing Shopee Vietnam as a case study, the paper investigates the implications and risks associated with the storage and handling of consumer data in the cloud. As E-commerce platforms like Shopee integrate cloud computing to enhance user experience and operational efficiency, they also face increasing threats to data security. This study not only highlights the prevalent security threats in cloud retailing, like malware attacks and compliance challenges but also examines how Shopee can enhance its security measures reaching a certain effectiveness. Through rigorous statistical and thematic analysis, the paper aims to contribute to the understanding of data security in cloud retailing as an aspect of evaluating effectiveness and proposes recommendations for enhancing user data protection, specifically in the context of Non-traditional security threats. Through that, we concluded which cloud-based environment is appropriate for deploying machine learning.
Mục lục
Địa chỉ truy cập
Số trang
4
Ngôn ngữ
en
Trích dẫn
ISBN
ISSN
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Tài liệu chủ
Tài liệu tham khảo
Chủ đề
Machine learning , Cloud computing , Non-traditional security , E-commerce , Shopee vietnam , Quantitative , Qualitative analysis , Malware attacks , Compliance challenges
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