Method and device for authenticating device using wireless lan service
US-2021029543-A1 · Jan 28, 2021 · US
US2023419534A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023419534-A1 |
| Application number | US-202318341567-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 26, 2023 |
| Priority date | Jun 28, 2022 |
| Publication date | Dec 28, 2023 |
| Grant date | — |
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A method is for detecting and localizing a wireless camera in an environment suspected to contain the wireless camera. The method comprises: instructing a user to perform a predetermined motion in the environment, wherein the predetermined motion is detectable within a detection range of a motion sensor of the wireless camera; scanning for and collecting a wireless traffic flow in the environment via a sniffing device; analyzing the wireless traffic flow to identify an OUI; comparing the OUI to an existing public OUI database to determine if the wireless traffic flow is generated by the wireless camera; when the wireless traffic flow is determined to have been generated by the wireless camera, concluding that the wireless camera is present in the environment; calculating a path distance of the predetermined motion when the wireless camera has been determined to be present in the environment; using a model to determine if the user performing the predetermined motion was in the detection range; and when the user is determined to have been in the detection range, determining a specific location of the wireless camera in the environment based on the path distance of the predetermined motion.
Opening claim text (preview).
What is claimed is: 1 . A method for detecting and localizing a wireless camera in an environment suspected to contain the wireless camera, the method comprising: instructing a user to perform a predetermined motion in the environment, wherein the predetermined motion is detectable within a detection range of a motion sensor of the wireless camera; scanning for and collecting a wireless traffic flow in the environment via a sniffing device; analyzing the wireless traffic flow to identify an organizationally unique identifier (OUI); comparing the OUI to an existing public OUI database to determine if the wireless traffic flow is generated by the wireless camera; when the wireless traffic flow is determined to have been generated by the wireless camera, concluding that the wireless camera is present in the environment; calculating a path distance of the predetermined motion when the wireless camera has been determined to be present in the environment; using a model to determine if the user performing the predetermined motion was in the detection range; and when the user is determined to have been in the detection range, determining a specific location of the wireless camera in the environment based on the path distance of the predetermined motion. 2 . The method of claim 1 , wherein the sniffing device is a smartphone or a computing device which runs a traffic sniffing program. 3 . The method of claim 1 , wherein the OUI is a media access control (MAC) address. 4 . The method of claim 1 , further comprising: inputting physical parameters and measurements of the environment into the model; displaying a scanning plan; and prompting the user to perform the predetermined motion to activate the wireless camera. 5 . The method of claim 1 , wherein the environment is an interior of a building. 6 . The method of claim 1 , wherein the environment is an exterior of a building. 7 . The method of claim 1 , wherein the environment comprises a plurality of wireless devices connected wirelessly, and wherein the wireless devices are secured by a password unknown to the user. 8 . A system comprising: a memory; and a processor coupled to the memory and configured to: instruct a user to perform a predetermined motion in an environment suspected to contain a wireless camera, wherein the predetermined motion is detectable within a detection range of a motion sensor of the wireless camera; scan for and collect a wireless traffic flow in the environment via a sniffing device; analyze the wireless traffic flow to identify an organizationally unique identifier (OUI); compare the OUI to an existing public OUI database to determine if the wireless traffic flow is generated by the wireless camera; when the wireless traffic flow is determined to have been generated by the wireless camera, conclude that the wireless camera is present in the environment; calculate a path distance of the predetermined motion when the wireless camera has been determined to be present in the environment; use a model to determine if the user performing the predetermined motion was in the detection range; and when the user is determined to have been in the detection range, determine a specific location of the wireless camera in the environment based on the path distance of the predetermined motion. 9 . The system of claim 8 , wherein the sniffing device is a smartphone or a computing device which runs a traffic sniffing program. 10 . The system of claim 8 , wherein a plurality of devices implements the system, and wherein the devices comprise the sniffing device. 11 . The system of claim 8 , wherein the OUI is a media access control (MAC) address. 12 . The system of claim 8 , wherein the processor is further configured to: input physical parameters and measurements of the environment into the model; display a scanning plan; and prompt the user to perform the predetermined motion to activate the wireless camera. 13 . The system of claim 8 , wherein the environment is an interior of a building. 14 . The system of claim 8 , wherein the environment is an exterior of a building. 15 . The system of claim 8 , wherein the environment comprises a plurality of wireless devices connected wirelessly, and wherein the wireless devices are secured by a password unknown to the user. 16 . A computer program product comprising instructions that are stored on a computer-readable medium and that, when executed by a processor, cause a system to: instruct a user to perform a predetermined motion in an environment suspected to contain a wireless camera, wherein the predetermined motion is detectable within a detection range of a motion sensor of the wireless camera; scan for and collect a wireless traffic flow in the environment via a sniffing device; analyze the wireless traffic flow to identify an organizationally unique identifier (OUI); compare the OUI to an existing public OUI database to determine if the wireless traffic flow is generated by the wireless camera; when the wireless traffic flow is determined to have been generated by the wireless camera, conclude that the wireless camera is present in the environment; calculate a path distance of the predetermined motion when the wireless camera has been determined to be present in the environment; use a model to determine if the user performing the predetermined motion was in the detection range; and when the user is determined to have been in the detection range, determine a specific location of the wireless camera in the environment based on the path distance of the predetermined motion. 17 . The computer program product of claim 16 , wherein the sniffing device is a smartphone or a computing device which runs a traffic sniffing program. 18 . The computer program product of claim 16 , wherein the OUI is a media access control (MAC) address. 19 . The computer program product of claim 16 , wherein the instructions, when executed by the processor, further cause the system to: input physical parameters and measurements of the environment into the model; display a scanning plan; and prompt the user to perform the predetermined motion to activate the wireless camera. 20 . The computer program product of claim 16 , wherein the environment is an interior of a building or an exterior of the building, wherein the environment comprises a plurality of wireless devices connected wirelessly, and wherein the wireless devices are secured by a password unknown to the user.
Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title
Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883) · CPC title
based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint · CPC title
Transmitting camera control signals through networks, e.g. control via the Internet · CPC title
from a mobile camera, e.g. for remote control · CPC title
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