Detecting Unauthorized Wireless Tethering via Hop Value Comparison
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Solution Overview
Problem
Unauthorized tethering by wireless devices leads to increased network resource consumption and congestion, causing unfairness among subscribers as network operators allocate resources differently based on authorized tethering capabilities.
Innovation Solution
A system and method to detect unauthorized tethering by determining a suspect device list, storing expected hop values, and comparing them with actual hop values from received data packets to identify devices engaging in unauthorized tethering, allowing for adjustments in data flow to mitigate network impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network operators allocate resources to authorized tethering devices, then authorized devices receive fair service allocation, but unauthorized tethering devices consume network resources and cause congestion
Solution Approach 1:
The system continuously monitors network traffic and uses feedback mechanisms to detect unauthorized tethering devices. By analyzing packet data and comparing hop values against expected values, the system identifies unauthorized devices and adjusts resource allocation accordingly, ensuring fair service for authorized devices while preventing congestion from unauthorized usage.
Solution Approach 2:
The system extracts and isolates unauthorized tethering devices from the network by identifying them through hop value comparison. Once identified, these devices are separated from the authorized device pool, allowing the network to apply different resource allocation policies to unauthorized devices while maintaining fair service for authorized devices.
2Measurement precision
If the system monitors all wireless devices to detect unauthorized tethering, then detection accuracy improves, but system complexity and processing overhead increase
Solution Approach 1:
Instead of applying uniform monitoring to all devices, the system applies selective monitoring by maintaining a suspect device list. It stores expected hop values for specific devices and only performs detailed hop value comparison for devices on this list, reducing processing overhead while maintaining high detection accuracy for unauthorized tethering.
Solution Approach 2:
The system performs preliminary actions by pre-storing expected hop values for devices in the suspect list before actual detection occurs. This preparation allows for faster and more efficient detection when data packets arrive, as the system only needs to compare actual hop values against the pre-stored expected values rather than performing complex analysis from scratch.
Data Source
AI summary
In systems and methods of detecting a wireless device utilizing unauthorized tethering, a plurality of wireless devices in communication with an access node is detected, and a suspect device list of wireless devices which are not authorized for tethering is determined from among the plurality of detected wireless devices. An expected hop value is stored for each suspect device, a data packet is received from each suspect device, and a first hop value is determined for each suspect device. Based on a first comparison of the expected hop value and the first hop value at least one suspect device is identified as performing unauthorized tethering.