학술논문
Programmable Name Obfuscation Framework for Controlling Privacy and Performance on CCN
Document Type
Periodical
Author
Source
IEEE Transactions on Network and Service Management IEEE Trans. Netw. Serv. Manage. Network and Service Management, IEEE Transactions on. 20(3):2460-2474 Sep, 2023
Subject
Language
ISSN
1932-4537
2373-7379
2373-7379
Abstract
Consumer privacy leakage from data names poses a serious threat to Content-Centric Networking (CCN) networks. Obfuscating names is a promising countermeasure, and anonymizers with deterministic encryption schemes have been proposed to provide data privacy while enabling CCN features, such as in-network caching. Existing studies assume a weak threat model in which anonymizers are honest, and their obfuscation schemes are not resilient against privacy attacks such as name guessing attacks. This paper designs a name obfuscation framework based on the realistic assumption that anonymizers are semi-honest. The framework strengthens data privacy using multiple keys and separates obfuscation for prefixes and suffixes, and is implemented on a P4 switch to provide Tbps forwarding speed.