RT Research Data T1 RF Fingerprinting for Contraband Wireless Devices Identification, Detection and Tracking in Correctional Facilities, Starkville, Mississippi, 2020-2022 A1 Tang, Bo A2 Ball, John E. A2 Young, Maxwell LA English PP Erscheinungsort nicht ermittelbar PB [Verlag nicht ermittelbar] YR 2023 UL https://krimdok.uni-tuebingen.de/Record/1902795903 AB
The growing use of contraband wireless devices, particularly cell phones, smuggled in correctional facilities, is a significant problem across the country. Inmates behind bars may use these devices to organize gang activities, run drug operations, and even plan escapes, which may threaten the safety and welfare of other inmates, prison employees and the general public. To combat the use of contraband cell phones, some radio-based technologies have been investigated, which primarily fall into the following three categories:
It has been known that a jamming system may interfere with authorized calls including public safety communications (e.g., 9-1-1 calls), particularly when multiple frequency bands are involved, and a MAS is usually prohibitively expensive in its installation and operation due to the needs of covering many different commercial networks and frequency bands with an optimized footprint. In contrast, the detection system offers a passive solution in that detection systems do not transmit any radio signals and thus do not interfere with other transmissions. Therefore, the overall objective of this project is to develop an effective and low-cost contraband interdiction system (CIS) for identifying, localizing, and tracking unauthorized wireless devices such as cell phones and WiFi devices in correctional facilities, through the use and development of advanced machine learning algorithms for fingerprinting radio frequency (RF) signals originating from an unauthorized wireless device.
K1 cellular phones K1 correctional facilities K1 radio communications K1 Forschungsdaten DO 10.3886/ICPSR38650.v1