Monostatic Wireless Proximity Detection with Randomized Frame Signatures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless proximity detection systems are vulnerable to hacking, where hackers can disrupt the accuracy of proximity detection by transmitting signals that mimic or cancel the echo signals, leading to incorrect proximity determinations.
Innovation Solution
The implementation of a monostatic wireless proximity detection system that generates frame-by-frame randomized signatures for transmitted frames, allowing the system to authenticate received frames by matching the signatures, thereby preventing spoofing attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless proximity detection uses standard transmission signals, then the system can operate with low power consumption and minimal hardware, but the system becomes vulnerable to hacking and spoofing attacks
Solution Approach 1:
The system pre-generates a unique signature sequence and incorporates it into the transmitted signal before transmission. This preliminary action allows the receiver to have a reference for authenticating reflected signals, enabling security verification without requiring complex real-time analysis capabilities
Solution Approach 2:
The system analyzes the reflected signal to detect the transmitted signature sequence and uses this feedback to authenticate whether the reflection is genuine. By comparing the detected signature with the expected signature, the system can verify the authenticity of the reflected signal and reject spoofed signals
2Measurement precision
If the system transmits continuous signals for proximity detection, then detection accuracy is maintained, but power consumption increases
Solution Approach 1:
Instead of continuous transmission, the system uses periodic pulsed transmission where signals are sent at specific intervals. This approach maintains detection capability by periodically sampling the environment while significantly reducing power consumption compared to continuous transmission
Solution Approach 2:
The system uses the existing wireless communication signals as copies for proximity detection purposes. By leveraging the transmitted communication signals and their reflections, the system achieves dual functionality (communication and sensing) without requiring separate dedicated sensing transmission, thereby reducing overall power consumption
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly enhances the security and accuracy of wireless proximity detection by ensuring that only authenticated frames are used for proximity determination, effectively countering hacking attempts.
Implementation Method 1
the wireless system may transmit a signal on one of its antennas and monitor receptions on another of its antennas for a reflection of the transmitted off of a nearby human
Data Source
AI summary
Disclosed herein are devices, methods, and systems for wireless proximity detection of an object (e.g., a human user) with respect to a computing system. A proximity detection system may transmit a series of wireless signal frames, each including a signature that differs between consecutive frames of the series of transmitted wireless signal frames. The system may also determine a validated frame subset from among a series of received wireless signal frames based on whether the series of received wireless signal frames includes the signature corresponding to the series of transmitted wireless signal frames. The system may also determine a proximity of an object to a wireless antenna based on the validated frame subset. This signature may be randomized so as to provide improved security against spurious/fraudulently transmitted signal frames.