This technology is a new cybersecurity system for capturing and analyzing radio frequency (RF) traffic, identifying the protocols in use and locating the device(s) emitting the signals. Spectral analyzers exist that can show what is being transferred across different frequency bands, but very little exists that can interpret those signals to understand what type of data is being transferred and to identify the devices emitting these signals. WiFIRE provides automatic, real-time RF traffic analysis, which provides an automated solution to easily identify and study exposed surfaces of wireless systems. WiFIRE is an essential element for providing security to wireless devices and networks. Fewer security risks and threats result in potential time, energy, and cost savings.
Researchers at INL have developed methods and systems for capturing and analyzing the radio frequency (RF) traffic, identifying the protocols in use, and locating the device(s) emitting the signals. The Wireless Radio Frequency Signal Identification and protocol Reverse Engineering (WiFIRE) automatically analyzes the RF emanations to determine protocols in use in real time, as opposed to capturing the data and analyzing it later as current systems do.
Applications and Industries
- Broad: Wireless communications technology and wireless devices; any RF traffic
- Critical Infrastructure and other control system environments
- Business and organization IT
- Electronics manufacturing
- Wireless security
- Increased security, which results in potential time, energy, and cost savings through fewer security risks
- Easily implemented across a broad range of frequencies and monitor packets from live wireless connections, or captured wireless network traffic that use a wide variety of protocols
- Can protect prohibited areas by detecting wireless devices and intruders carrying wireless devices into the physical areas