A Quantitative Method for the DNS Isolation Management Risk Estimation
The domain name system (DNS) is an important infrastructure of the Internet, providing domain name resolution services for almost all Internet communication systems. However, the current DNS is centrally managed, leading to unfair sovereignty of the Internet among countries. A domestic DNS is unable...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/6/922 |
| _version_ | 1797566406780256256 |
|---|---|
| author | SiYu Liang ZhiHong Tian XinDa Cheng Yu Jiang Le Wang Shen Su |
| author_facet | SiYu Liang ZhiHong Tian XinDa Cheng Yu Jiang Le Wang Shen Su |
| author_sort | SiYu Liang |
| collection | DOAJ |
| description | The domain name system (DNS) is an important infrastructure of the Internet, providing domain name resolution services for almost all Internet communication systems. However, the current DNS is centrally managed, leading to unfair sovereignty of the Internet among countries. A domestic DNS is unable to work normally, noted as isolated management risk (IMR), especially when the national network is isolated from the rest of the Internet. To improve understanding of the DNS isolated management risk for better DNS resource deployment, it is critical to determine how serious the IMR is among various countries. In order to quantify DNS isolated management risk, this paper proposed an effective approach to collect DNS resolution demand data from the network used by various intelligent devices and to conduct data analysis to estimate isolated management risk of certain country’s domestic DNSs. Our idea is to quantify the domain name resolution demand and its relationship with the overseas resolution processes. We further used our quantitative method to compare the IMR of the USA and China and analyzed the difference between them. |
| first_indexed | 2024-03-10T19:27:19Z |
| format | Article |
| id | doaj.art-ff06fa7754574692aec8c045b0ae0c66 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T19:27:19Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-ff06fa7754574692aec8c045b0ae0c662023-11-20T02:32:07ZengMDPI AGElectronics2079-92922020-06-019692210.3390/electronics9060922A Quantitative Method for the DNS Isolation Management Risk EstimationSiYu Liang0ZhiHong Tian1XinDa Cheng2Yu Jiang3Le Wang4Shen Su5Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, ChinaThe domain name system (DNS) is an important infrastructure of the Internet, providing domain name resolution services for almost all Internet communication systems. However, the current DNS is centrally managed, leading to unfair sovereignty of the Internet among countries. A domestic DNS is unable to work normally, noted as isolated management risk (IMR), especially when the national network is isolated from the rest of the Internet. To improve understanding of the DNS isolated management risk for better DNS resource deployment, it is critical to determine how serious the IMR is among various countries. In order to quantify DNS isolated management risk, this paper proposed an effective approach to collect DNS resolution demand data from the network used by various intelligent devices and to conduct data analysis to estimate isolated management risk of certain country’s domestic DNSs. Our idea is to quantify the domain name resolution demand and its relationship with the overseas resolution processes. We further used our quantitative method to compare the IMR of the USA and China and analyzed the difference between them.https://www.mdpi.com/2079-9292/9/6/922domain name systemisolated management riskcyberspace sovereigntyDNS data collectionDNS data analysis |
| spellingShingle | SiYu Liang ZhiHong Tian XinDa Cheng Yu Jiang Le Wang Shen Su A Quantitative Method for the DNS Isolation Management Risk Estimation Electronics domain name system isolated management risk cyberspace sovereignty DNS data collection DNS data analysis |
| title | A Quantitative Method for the DNS Isolation Management Risk Estimation |
| title_full | A Quantitative Method for the DNS Isolation Management Risk Estimation |
| title_fullStr | A Quantitative Method for the DNS Isolation Management Risk Estimation |
| title_full_unstemmed | A Quantitative Method for the DNS Isolation Management Risk Estimation |
| title_short | A Quantitative Method for the DNS Isolation Management Risk Estimation |
| title_sort | quantitative method for the dns isolation management risk estimation |
| topic | domain name system isolated management risk cyberspace sovereignty DNS data collection DNS data analysis |
| url | https://www.mdpi.com/2079-9292/9/6/922 |
| work_keys_str_mv | AT siyuliang aquantitativemethodforthednsisolationmanagementriskestimation AT zhihongtian aquantitativemethodforthednsisolationmanagementriskestimation AT xindacheng aquantitativemethodforthednsisolationmanagementriskestimation AT yujiang aquantitativemethodforthednsisolationmanagementriskestimation AT lewang aquantitativemethodforthednsisolationmanagementriskestimation AT shensu aquantitativemethodforthednsisolationmanagementriskestimation AT siyuliang quantitativemethodforthednsisolationmanagementriskestimation AT zhihongtian quantitativemethodforthednsisolationmanagementriskestimation AT xindacheng quantitativemethodforthednsisolationmanagementriskestimation AT yujiang quantitativemethodforthednsisolationmanagementriskestimation AT lewang quantitativemethodforthednsisolationmanagementriskestimation AT shensu quantitativemethodforthednsisolationmanagementriskestimation |