학술논문

Spatial Frequency Detection of Optical Signals Embedded in the Environment
Document Type
Conference
Source
2022 32nd International Telecommunication Networks and Applications Conference (ITNAC) Telecommunication Networks and Applications Conference (ITNAC), 2022 32nd International. :185-191 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Integrated optics
Frequency modulation
Costs
Optical recording
Computer bugs
Information security
Optical fiber networks
network monitoring
security and privacy protection
spectral methods
video analysis
Language
ISSN
2474-154X
Abstract
Preventing the exfiltration of critical data via out-of-band channels is one of the most difficult challenges in cybersecurity. This challenge notably includes commu-nications utilizing optical channels. Numerous papers have suggested the modulation of indicator lights to transmit information out of otherwise secure networks. These means of optically embedding data are both challenging to detect and a threat to the security of confidential data. This paper presents a scalable, near-real-time process to detect and localize data hidden in optical channels amid other optical modulation, including electric network frequencies. Assumptions on the detectability of hidden optical channels are reviewed and a method of detecting and localizing transmissions based on spectral artifacts of embedded data is developed. Proof-of-concept experiments demonstrate the successful detection of potential optical data leaks in an office environment. This capability can allow for low cost optical bug sweeping devices, arming information security teams with a tool to detect and mitigate the insidious threat of optical out-of-band channels.