Cellular Intrusion Detection System
Faculty Mentor Name
John Sevic, Ahmed Sulyman
Format Preference
Poster
Abstract
The Cellular Intrusion Detection (CID) system is a specialized surveillance framework designed to enhance security within sensitive compartmented information facilities (SCIFs). This system employs sophisticated cellular carrier signal detection technologies to identify and locate unauthorized 4G cellular devices in secured areas. The CID system is comprised of a robust hardware framework consisting of omni-directional antennas, software-defined radios (SDRs), and microcontroller units powered by Power over Ethernet. The software backbone is centered around a Linux-based central computing unit that processes radio frequency data streams in real-time, with minimal latency. It features an interface designed for ease of use by security personnel, capable of real-time visualization and alert generation. The complexity of the CID system lies in its signal processing capabilities. Raw I/Q signal data is converted into Power Spectral Density information before undergoing several calculations. To ascertain the approximate location of an intruding 4G device, the system leverages a Time Difference of Arrival (TDOA) algorithm, which utilizes the time delays observed in the signal arrival at various sensor modules. Progress on the CID system is on-going. At present, the prototype can successfully identify a tone communicating through an SDR, as well as between SDRs, utilizing both wired and wireless connections. In addition, Matlab simulations have demonstrated the effectiveness of the TDOA algorithm in precisely locating signal origins, and the algorithm is currently being integrated into the prototype. Looking to the future, the intention is to scale the CID system beyond 4G to detect a variety of cellular signals across different frequency bands with the addition of an advanced machine learning algorithm.
Cellular Intrusion Detection System
The Cellular Intrusion Detection (CID) system is a specialized surveillance framework designed to enhance security within sensitive compartmented information facilities (SCIFs). This system employs sophisticated cellular carrier signal detection technologies to identify and locate unauthorized 4G cellular devices in secured areas. The CID system is comprised of a robust hardware framework consisting of omni-directional antennas, software-defined radios (SDRs), and microcontroller units powered by Power over Ethernet. The software backbone is centered around a Linux-based central computing unit that processes radio frequency data streams in real-time, with minimal latency. It features an interface designed for ease of use by security personnel, capable of real-time visualization and alert generation. The complexity of the CID system lies in its signal processing capabilities. Raw I/Q signal data is converted into Power Spectral Density information before undergoing several calculations. To ascertain the approximate location of an intruding 4G device, the system leverages a Time Difference of Arrival (TDOA) algorithm, which utilizes the time delays observed in the signal arrival at various sensor modules. Progress on the CID system is on-going. At present, the prototype can successfully identify a tone communicating through an SDR, as well as between SDRs, utilizing both wired and wireless connections. In addition, Matlab simulations have demonstrated the effectiveness of the TDOA algorithm in precisely locating signal origins, and the algorithm is currently being integrated into the prototype. Looking to the future, the intention is to scale the CID system beyond 4G to detect a variety of cellular signals across different frequency bands with the addition of an advanced machine learning algorithm.