Bảo mật dữ liệu theo phương pháp nặc danh hóa trên open data=Data Privacy Using Anonymization Method on Open Data

0 Người đánh giá. Xếp hạng trung bình 0

Tác giả: Thị Minh Châu Lê

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Khoa học Giáo dục KT, 2024

Mô tả vật lý: tr.12-21

Bộ sưu tập: Metadata

ID: 251360

Thêm vào giỏ

Open Data (Dữ Liệu Mở) là loại dữ liệu được chia sẻ giữa các tổ chức, cơ quan, doanh nghiệp, chính phủ… Mục đích chung là để phục vụ cho các dự án cộng đồng trong nhiều lĩnh vực: sức khỏe, môi trường, giáo dục…. Hiện nay, các nước trên thế giới đang theo xu hướng xây dựng thành phố thông minh, chính phủ thông minh, ứng dụng Open Data trong các dự án này và đạt được nhiều lợi ích đáng kể. Tuy nhiên, việc chia sẻ dùng chung dữ liệu có thể dẫn đến nhiều vấn đề. Trong những nghiên cứu gần đây các tác giả đã chỉ ra bên cạnh các lợi ích mà Open Data đem lại cũng tồn tại những rủi ro về tính bảo mật, làm lộ thông tin của các cá nhân, tổ chức, doanh nghiệp. Bảo mật dữ liệu bằng các phương pháp nặc danh hóa như: k-anonymity, l-diversity... đã được nghiên cứu và áp dụng trong nhiều năm nhưng đa phần vẫn trên tập dữ liệu truyền thống của các doanh nghiệp, tổ chức, chưa áp dụng lên các dữ liệu của hệ thống Dữ liệu mở. Do đó, đề tài này sẽ tập trung tìm hiểu Open Data, các phương pháp bảo mật dữ liệu theo cơ chế nặc danh, hiện thực một số phương pháp bảo mật theo cơ chế nặc danh hóa trên Open Data và phân tích, đánh giá kết quả nghiên cứu được.Open Data is a type of data shared between organizations, agencies, businesses, governments, etc. It is mainly used to serve community projects in many fields: health, environment, education, etc. Nowadays, countries around the world are following the trend of building smart cities and smart governments. They are applying Open Data in these projects and achieving many significant benefits. However, sharing data can lead to many problems. In recent studies, many authors have pointed out that besides the benefits that Open Data offers, there are also risks in terms of security, including revealing information of individuals, organizations, and businesses. Data security using anonymization methods such as k-anonymity or l-diversity has been researched and applied for many years. However, these methods are just mainly implemented and tested on traditional data sets of businesses and organizations, not the data on Open Data. Therefore, this topic will focus on understanding Open Data, data security methods based on anonymization mechanism, implementing some security methods based on anonymization mechanism on Open Data and analyzing and evaluating research results.

1. Đọc trực tuyến

1. Đọc trực tuyến

Tạo bộ sưu tập với mã QR