Study on a physical layer security framework for establishing trustworthy IoT systems

2019 Fiscal Year Annual Research Report

• Project/Area Number: 19K21538
• Allocation Type: Multi-year Fund
• Research Institution: Toyo University
• Principal Investigator: 朱 金暁 東洋大学, 情報連携学部, 助教 (30754329)
• Project Period (FY): 2019-04-01 – 2020-03-31
• Keywords: PLA / Physical layer security / finite-length / fractal dimension

Outline of Annual Research Achievements

1. PLS based confidential communication: We have explored the finite-length coding rate for channels with random state under either causal or noncausal CSIT and CSIR assumption. Such a channel can be extended to model a wireless channel with fading, a write-once memory with programmed cells and a communication channel with an adversary. We showed that the maximum achievable rate for the noncausal assumption is larger than the maximum achievable rate for the causal assumption, and both rates approach to the capacity as the length of a codeword increases. We wrote a draft of the research's result for the possible publication in a transaction.

2. PLS based identification and authentication: We have investigated the volatility of radio frequency (RF) signals generated in RF chain of wireless transceivers due to unpredictable and uncontrollable hardware imperfections. Then we studied fractal dimension of the received training sequence as a new physical layer feature to identify wireless devices. As the received training sequence are generated from the received RF signal, we explored how the fractal dimension are impacted by hardware imperfections. Finally, we built a simulator using USRP and verified our results. A draft of the research has been written for the publication in the near future.