| Title | Investigating the Design Space for Name Confidentiality in Named Data Networking |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zhang, Zhiyi, Won, Su Yong, Zhang, Lixia |
| Conference Name | MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) |
| Date Published | nov |
| Keywords | confidentiality, data privacy, Human Behavior, human factors, military communication, Named Data Network Security, named data networking, privacy, pubcrawl, resilience, Resiliency, Scalability, Semantics, Systematics, TCPIP |
| Abstract | As a fundamental departure from the IP design which encodes source and destination addresses in each packet, Named Data Networking (NDN) directly uses application-defined data names for network layer communications. While bringing important data-centric benefits, the semantic richness of NDN names has also raised confidentiality and privacy concerns. In this paper, we first define the problem of name confidentiality, and then investigate the solution space through a comprehensive examination of all the proposed solutions up to date. Our work shows that the proposed solutions are simply different means to hide the actual data names via a layer of translation; they differ in where and how the translation takes place, which lead to different trade-offs in feasibility, efficiency, security, scalability, and different degrees of adherence to NDN's data-centric communications. Our investigation suggests the feasibility of a systematic design that can enable NDN to provide stronger name confidentiality and user privacy as compared to today's TCP/IP Internet. |
| DOI | 10.1109/MILCOM52596.2021.9652892 |
| Citation Key | zhang_investigating_2021 |
Investigating the Design Space for Name Confidentiality in Named Data Networking