2021/05/01 by Yao Zheng, Zheng, Yao, Shekh Md Mahmudul Islam +28
Computer Science · Engineering · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #RFID technology advancements #User Authentication and Security Systems #cs.CR
paper · pdf · doi:10.48550/arxiv.2105.00314
openalex publication_date 2021/05/01 · openalex created_date 2021/05/10 · arxiv created 2021/05/24 · arxiv updated 2021/05/26 · openalex updated_date 2026/07/28
The increasingly sophisticated at-home screening systems for obstructive sleep apnea (OSA), integrated with both contactless and contact-based sensing modalities, bring convenience and reliability to remote chronic disease management. However, the device pairing processes between system components are vulnerable to wireless exploitation from a non-compliant user wishing to manipulate the test results. This work presents SIENNA, an insider-resistant context-based pairing protocol. SIENNA leverages JADE-ICA to uniquely identify a user's respiration pattern within a multi-person environment and fuzzy commitment for automatic device pairing, while using friendly jamming technique to prevents an insider with knowledge of respiration patterns from acquiring the pairing key. Our analysis and test results show that SIENNA can achieve reliable (> 90% success rate) device pairing under a noisy environment and is robust against the attacker with full knowledge of the context information.