PriRoster: Privacy-preserving Radio Context Attestation in Cognitive Radio Networks

Ruide Zhang, Ning Wang, Ning Zhang, Zheng Yan, Wenjing Lou, Y. Thomas Hou
2019 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)  
Spectrum shortage is becoming a global concern and cognitive radio network (CRN) is envisioned to be one of the key technologies for overcoming this challenge. However, proper operation of CRN heavily depends on compliance of cognitive radios (CRs). Although Remote attestation of CRs' radio context is a promising solution, delegating appraisal tasks to local base stations has serious privacy concerns. Conducting appraisal tasks only on global appraiser brings an easy solution, nevertheless,
more » ... ability remains an unsolved issue. In this paper, we propose PriRoster, a privacy-preserving radio context attestation framework for cognitive radio network. The proposed framework takes advantage of recent advancement in trusted hardware, Intel SGX, and incorporate it in a secure and scalable way. First, we propose a privacy-preserving design for single device remote attestation. Second, we design a secure trust transfer scheme to delegate power consuming process of trust establishment between local appraiser (LA) enclave and CR nodes to global appraiser (GA). Through this design, we construct a scalable framework with low computation burden for resource constraint low-end CR devices. Furthermore, special considerations are given in adopting Intel SGX. We consider known memory access side channel of Intel SGX and propose oblivious appraisal functions to prevent this kind of information exposure. At last, we build a prototype of the proposed system using Raspberry Pi, USRP, Intel NUC and AWS cloud. The feasibility of our proposed framework is measured by system benchmark and the effectiveness of proposed oblivious appraisal functions are verified by dynamic code instrumentation.
doi:10.1109/dyspan.2019.8935740 dblp:conf/dyspan/ZhangWZ0LH19 fatcat:alv4qz7fvrhl7oc772chgdhqge