韩劲松

浙江大学网络空间安全学院教授，博导

Title: Deaf-Aid: Mobile IoT Communication Exploiting Stealthy Speaker-to-Gyroscope Channel

Abstract: 

Internet of Things (IoT) devices are hindered from communicating with their neighbors by incompatible protocols or electromagnetic interference. Existing solutions adopting physical covert channels have limitations in receiver distinction, additional hardware, conditional placement, or physical contact. Our system, Deaf-Aid, utilizes the stealthy speaker-to-gyroscope channel to build robust protocol-independent communication with automatic receiver identification. Deaf-Aid exploits ultrasonic signals at a frequency corresponding to the target receiver, forcing the gyroscope inside to resonate, so as to convey information. We probe the relationship among axes in a gyroscope to surmount frequency offset ingeniously and support multi-channel communication. Meanwhile, Deaf-Aid identifies the receivers automatically via device fingerprints constituted by the diversity of resonant frequency ranges. Furthermore, we entitle Deaf-Aid the capability of mobile communication which is an essential demand for IoT devices. We address the challenge of accurate signals recovery from motion interference. Extensive evaluations demonstrate that Deaf-Aid yields 47bps with BER lower than 1% under motion interference. To our best knowledge, Deaf-Aid is the first work to enable stealthy mobile IoT communication on the basis of inertial motion sensors.

报告人简介：

      韩劲松，浙江大学网络空间安全学院教授，博导。2007年在香港科技大学计算机科学与工程学系获博士学位。研究工作主要集中在物联网安全、可信认证、智能感知、和移动计算等方面。近年来在国际一流期刊与重要国际会议上发表文章40余篇，主持国家自然科学基金面上项目三项，并担任多个重要项目的主要负责人。担任过多个一流国际会议的程序委员会委员，如MOBICOM,INFOCOM,ICNP等；获2019IEEE信息通信年会（INFOCOM）最佳论文奖、2019全球通信会议（GLOBECOM）最佳论文奖、2011年香港信息及通讯科技奖最佳研究与创新奖，获选“高校计算机专业优秀教师奖励计划”，2018年ACM西安优博指导教师。