A physical-layer Rogue ONU identification method based on hardware fingerprint technology

被引：0

作者：

Liu, Kaiyu ^{[1
,2
]}

Huang, Danming ^{[1
,2
]}

Tang, Chengzhe ^{[1
,2
]}

Deng, Lei ^{[1
,2
]}

Yang, Qi ^{[1
,2
]}

Dai, Xiaoxiao ^{[1
,2
]}

Liu, Deming ^{[1
,2
]}

Cheng, Mengfan ^{[1
,2
]}

机构：

[1] Huazhong Univ Sci & Technol HUST, Sch Opt & Elect Informat, Natl Engn Res Ctr Next Generat Internet Access Sy, Wuhan 430074, Peoples R China

[2] Jinyinhu Lab, Wuhan 430040, Peoples R China

来源：

2024 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC | 2024年

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose a method for identifying rogue ONUs based on hardware fingerprint technology. By directly detecting waveform fingerprints, the experimental results show that the average identification accuracy within 16 ONUs can reach 96.74%. (c) 2024 The Author(s)

引用

页数：3

共 7 条

[1] C. M, 2003, JSAC
[2] Elrasad A, 2017, 2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)
[3] Gong H, 2021, ACP
[4] Enhancing the Physical Layer Security of OFDM-PONs With Hardware Fingerprint Authentication: A Machine Learning Approach
Li, Shanshan
Cheng, Mengfan
Chen, Yetao
Fan, Chengpeng
Deng, Lei
Zhang, Minming
Fu, Songnian
Tang, Ming
Shum, Perry Ping
Liu, Deming
[J]. JOURNAL OF LIGHTWAVE TECHNOLOGY, 2020, 38 (12) : 3238 - 3245
[5] Li Y, 2019, REAL TIME ROGUE ONU
[6] Oishi M, 2010, 2010 36TH EUROPEAN CONFERENCE AND EXHIBITION ON OPTICAL COMMUNICATION (ECOC), VOLS 1 AND 2
[7] Machine Learning Techniques for Optical Performance Monitoring and Modulation Format Identification: A Survey
Saif, Waddah S.
Esmail, Maged A.
Ragheb, Amr M.
Alshawi, Tariq A.
Alshebeili, Saleh A.
[J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2020, 22 (04): : 2839 - 2882

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