Analyzing optical fibre communication networks for intrusion detection using FBG sensors
dc.contributor.author | Ali, Elaf Alabed | |
dc.contributor.author | Ilyas, Muhammad | |
dc.date.accessioned | 2022-12-23T10:30:54Z | |
dc.date.available | 2022-12-23T10:30:54Z | |
dc.date.issued | 2022 | en_US |
dc.department | Enstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı | en_US |
dc.description.abstract | Due to its many advantages, fibre optic sensors have quickly become a widely used sensing technology in many different fields. Something that can be fibered Light of a certain wavelength is reflected while the rest of the spectrum passes through an optical fibre with a Bragg grating built into it. Optical fibre with a Fiber Bragg Grating is often utilised for strain and temperature sensing applications. The output is more accurate and may be used in more situations when the system is immune to the effects of electromagnetic interference. The term 'Fiber Bragg Grating' refers to the periodic change in index of refraction that may be achieved in optical fibres. It functions on the basis of changes in wavelength caused by modification of the light source due to temperature increases above the reference point. In this work, we detail the deployment and testing of an intrusion detection system based on Fiber Bragg Grating (FBG) sensors in the real world. Simulations are performed to examine the performance of 1551nm Fiber Bragg Gratings as strain sensors and the resultant dynamic strain and wavelength changes are analysed. This examination of performance is very helpful for intrusion detection systems operating in hostile situations. For remote sensing purposes, this sensor is data-communication-system-compatible. | en_US |
dc.identifier.citation | Ali, E. A., Ilyas, M. (2022). Analyzing optical fibre communication networks for intrusion detection using FBG sensors. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 788-793). IEEE. | en_US |
dc.identifier.endpage | 793 | en_US |
dc.identifier.isbn | 9781665470131 | |
dc.identifier.scopus | 2-s2.0-85142835865 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 788 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12939/3143 | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Ali, Elaf Alabed | |
dc.institutionauthor | Ilyas, Muhammad | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | ISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings | |
dc.relation.isversionof | 10.1109/ISMSIT56059.2022.9932832 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Ulusal - İdari Personel ve Öğrenci | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Electromagnetic Interference (EMI) | en_US |
dc.subject | Fiber Bragg Grating (FBG) | en_US |
dc.subject | Optical Fibre | en_US |
dc.title | Analyzing optical fibre communication networks for intrusion detection using FBG sensors | |
dc.type | Conference Object |
Dosyalar
Lisans paketi
1 - 1 / 1
[ X ]
- Ä°sim:
- license.txt
- Boyut:
- 1.44 KB
- Biçim:
- Item-specific license agreed upon to submission
- Açıklama: