| Title | SGX-ICN: A Secure and Privacy-Preserving Information-Centric Networking with SGX Enclaves |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Yang, Z., Li, X., Wei, L., Zhang, C., Gu, C. |
| Conference Name | 2020 3rd International Conference on Hot Information-Centric Networking (HotICN) |
| Date Published | dec |
| Keywords | Computer architecture, ICN, Information Centric Networks, information-centric networking, Intel SGX, Monitoring, Next generation networking, performance evaluation, privacy, pubcrawl, Resiliency, Scalability, telecommunication traffic |
| Abstract | As the next-generation network architecture, Information-Centric Networking (ICN) has emerged as a novel paradigm to cope with the increasing demand for content delivery on the Internet. In contrast to the conventional host-centric architectures, ICN focuses on content retrieval based on their name rather than their storage location. However, ICN is vulnerable to various security and privacy attacks due to the inherent attributes of the ICN architectures. For example, a curious ICN node can monitor the network traffic to reveal the sensitive data issued by specific users. Hence, further research on privacy protection for ICN is needed. This paper presents a practical approach to effectively enhancing the security and privacy of ICN by utilizing Intel SGX, a commodity trusted execution environment. The main idea is to leverage secure enclaves residing on ICN nodes to do computations on sensitive data. Performance evaluations on the real-world datasets demonstrate the efficiency of the proposed scheme. Moreover, our scheme outperforms the cryptography based method. |
| DOI | 10.1109/HotICN50779.2020.9350832 |
| Citation Key | yang_sgx-icn_2020 |
SGX-ICN: A Secure and Privacy-Preserving Information-Centric Networking with SGX Enclaves