Mobile Access Point Detection
First Claim
1. A method of detecting mobile access points, comprising:
- collecting crowdsourcing data associated with one or more access point devices;
quantizing the crowdsourcing data to generate a quantized crowdsourcing data;
for each access point device, determining an interfracile range of the access point device using the quantized crowdsourcing data, wherein the interfracile range is a measure of a statistical dispersion of the quantized crowdsourcing data with respect to the access point device; and
identifying the access point device as a mobile access point device in response to the interfracile range exceeds a first predetermined range.
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Abstract
Methods and devices for detecting mobile access points are disclosed. In one embodiment, a method of detecting mobile access points comprises collecting crowdsourcing data associated with one or more access point devices, quantizing the crowdsourcing data to generate a quantized crowdsourcing data, for each access point device, determining an interfracile range of the access point device using the quantized crowdsourcing data, where the interfracile range is a measure of statistical dispersion of the quantized crowdsourcing data with respect to the access point device, identifying the access point device as a mobile access point device in response to the interfracile range exceeds a first predetermined range. The method of collecting crowdsourcing data comprises collecting the crowdsourcing data within a predetermined sliding time window.
25 Citations
32 Claims
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1. A method of detecting mobile access points, comprising:
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collecting crowdsourcing data associated with one or more access point devices; quantizing the crowdsourcing data to generate a quantized crowdsourcing data; for each access point device, determining an interfracile range of the access point device using the quantized crowdsourcing data, wherein the interfracile range is a measure of a statistical dispersion of the quantized crowdsourcing data with respect to the access point device; and identifying the access point device as a mobile access point device in response to the interfracile range exceeds a first predetermined range. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product comprising a non-transitory medium storing computer programs for execution by one or more computer systems, the computer program product comprising:
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code for collecting crowdsourcing data associated with one or more access point devices; code for quantizing the crowdsourcing data to generate a quantized crowdsourcing data; for each access point device, code for determining an interfracile range of the access point device using the quantized crowdsourcing data, wherein the interfracile range is a measure of a statistical dispersion of the quantized crowdsourcing data with respect to the access point device; and code for identifying the access point device as a mobile access point device in response to the interfracile range exceeds a first predetermined range. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. An apparatus, comprising:
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at least one processor;
a crowdsourcing data manager and a data aggregation module configured to work with the at least one processor, whereinthe crowdsourcing data manager comprises logic configured to collect crowdsourcing data associated with one or more access point devices; the data aggregation module comprises logic configured to quantize the crowdsourcing data to generate a quantized crowdsourcing data;
for each access point device, determining an interfracile range of the access point device using the quantized crowdsourcing data, wherein the interfracile range is a measure of a statistical dispersion of the quantized crowdsourcing data with respect to the access point device; and
identifying the access point device as a mobile access point device in response to the interfracile range exceeds a first predetermined range. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
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28. An apparatus, comprising:
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means for collecting crowdsourcing data associated with one or more access point devices; means for quantizing the crowdsourcing data to generate a quantized crowdsourcing data; for each access point device, means for determining an interfracile range of the access point device using the quantized crowdsourcing data, wherein the interfracile range is a measure of a statistical dispersion of the quantized crowdsourcing data with respect to the access point device; and means for identifying the access point device as a mobile access point device in response to the interfracile range exceeds a first predetermined range. - View Dependent Claims (29, 30, 31, 32)
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Specification