1
PhD student, Malek Ashtar University of Technology, Tehran, Iran
2
Associate Professor, Imam Hossein ، University, Tehran, Iran
Abstract
Fiber optic eavesdropping has always been and will be the focus of various sectors of electronic and cyber warfare in the defense and security sector. So far, many efforts have been made at the global level to monitor the performance of the fiber optic communication link, the results of which can be expressed in the form of DAS and OTDR technologies. Unfortunately, both methods are unable to distinguish the listening systems from the fiberoptics in front of the advanced fever and listening techniques.In this article, the properties of quantum technology in the field of quantum key distribution are used to improve the performance of DAS, and an algorithm is proposed that is capable of detecting the fiber listening system with high accuracy in addition to monitoring the losses in the optical fiber communication link. specifies The results of the proposed algorithm indicate that this algorithm is able to detect the presence of a listening device with 98% accuracy, detect people within a radius of 2 meters with an accuracy of over 70%, and detect a motorcycle within a radius of 20 meters with an accuracy of over 72%. More than 75% of light vehicle detection in a radius of 120 meters and more than 76% accuracy of heavy vehicle detection in a radius of 180 meters of optical fiber.
soleimani, A., & naseri, A. (2024). DAS system performance improvement algorithm based on quantum technology. Electronic and Cyber Defense, 12(2), -.
MLA
Ali soleimani; Ali naseri. "DAS system performance improvement algorithm based on quantum technology", Electronic and Cyber Defense, 12, 2, 2024, -.
HARVARD
soleimani, A., naseri, A. (2024). 'DAS system performance improvement algorithm based on quantum technology', Electronic and Cyber Defense, 12(2), pp. -.
VANCOUVER
soleimani, A., naseri, A. DAS system performance improvement algorithm based on quantum technology. Electronic and Cyber Defense, 2024; 12(2): -.