TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
On the Application of Channel Characteristic-Based Physical Layer Authentication in Industrial Wireless Networks |
| 영문제목(English Title) |
On the Application of Channel Characteristic-Based Physical Layer Authentication in Industrial Wireless Networks |
| 저자(Author) |
Qiuhua Wang
Mingyang Kang
Lifeng Yuan
Yunlu Wang
Gongxun Miao
Kim-Kwang Raymond Choo
|
| 원문수록처(Citation) |
VOL 15 NO. 06 PP. 2255 ~ 2281 (2021. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Channel characteristic-based physical layer authentication is one potential identity authentication scheme in wireless communication, such as used in a fog computing environment. While existing channel characteristic-based physical layer authentication schemes may be efficient when deployed in the conventional wireless network environment, they may be less efficient and practical for the industrial wireless communication environment due to the varying requirements. We observe that this is a topic that is understudied, and therefore in this paper, we review the constructions and performance of several commonly used test statistics and analyze their performance in typical industrial wireless networks using simulation experiments. The findings from the simulations show a number of limitations in existing channel characteristic-based physical layer authentication schemes. Therefore, we believe that it is a good idea to combine machine learning and multiple test statistics for identity authentication in future industrial wireless network deployment. Four machine learning methods prove that the scheme significantly improves the authentication accuracy and solves the challenge of choosing a threshold. |
| 키워드(Keyword) |
Physical layer authentication
industrial wireless network
Channel state information
test statistic
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| 파일첨부 |
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