System and method for physically detecting, identifying, diagnosing and geolocating electronic devices connectable to a network

• US 9,562,962 B2
• Filed: 07/11/2014
• Issued: 02/07/2017
• Est. Priority Date: 01/06/2011
• Status: Active Grant

• Current Assignee: Nokomis Inc.
• Original Assignee: Nokomis Inc.
• Inventors: Keller, Walter J. III
• Primary Examiner(s): Jacobs, Lashonda
• Application Number:
  US14/329,160
• Publication Number:
  US 20150009073A1
• Time in Patent Office: 942 Days
• Field of Search: 709/223, 709/224, 342/13, 342/127, 342/159, 342/193, 342/463, 702/187
• US Class Current: 1/1
• CPC Class Codes: F41A 17/06 Electric or electromechanical safeties F41A17/04, F41A17/08 take precedence
• CPC Class Codes: F42D 5/02 Locating undetonated charges
• CPC Class Codes: H04L 41/06 Management of faults, events, alarms or notifications
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks

Abstract

An emissions detection apparatus for at least one of detecting, identifying, diagnosing and geolocating an electronic device or an information transmitted from the electronic device includes an emissions collections device connected to an antenna receiving emission of an electromagnetic energy emitted from the electronic device and collecting a spectral data emitted from the electronic device; one or more algorithms processing the collected spectral data, algorithms selected from a group consisting of a peak detection algorithm, a multiple peak detection algorithm, a harmonic correlation algorithm, a non-harmonic correlation algorithm, a time correlation algorithm, a phase correlation algorithm, and a duty cycle timing correlation algorithm; and one or more algorithms matching the processed spectral data to an emissions template, wherein a match of the processed spectral data with the emissions template at least one of detects, identifies, diagnoses and geolocates the electronic device or the information transmitted from the electronic device.

Claims

1. An emissions detection apparatus for at least one of detecting, identifying, diagnosing and geolocating an electronic device or an information transmitted from the electronic device, said emissions detection apparatus comprising:

(a) an emissions collections device connected to an antenna receiving emission of an electromagnetic energy emitted from the electronic device, said emissions collections device collects a spectral data emitted from the electronic device and received at the antenna;

(b) one or more algorithms processing said collected spectral data, said one or more algorithms selected from a group consisting of a peak detection algorithm, a multiple peak detection algorithm, a harmonic correlation algorithm, a non-harmonic correlation algorithm, a time correlation algorithm, a phase correlation algorithm, and a duty cycle timing correlation algorithm; and

(c) one or more algorithms matching said processed spectral data to an emissions template, wherein a match of said processed spectral data with the emissions template at least one of detects, identifies, diagnoses and geolocates the electronic device or the information transmitted from the electronic device.

2. The emissions detection apparatus of claim 1, wherein said processed spectral data includes a processed emission signal and wherein the emissions template includes at least one emission signature.

3. The emissions detection apparatus of claim 2, wherein said emissions template is constructed from information collected from a network.

4. The emissions detection apparatus of claim 1, wherein said one or more algorithms matching said processed spectral data to the emissions template includes at least one of:

(a) a baseband demodulation;

(b) decimation;

(c) filtering;

(d) Fourier Transforms;

(e) Wavelet Transforms;

(f) Artificial Intelligence (AI);

(g) Artificial Neural Networks (ANN);

(h) detection and signal identification algorithms;

(i) reconfigurable hardware (FPGA) topologies;

(j) a Laplace transform; and

(k) a convolution technique.

5. The emissions detection apparatus of claim 1, further comprising the emissions template, wherein the emissions template includes at least one of:

(a) single peak characteristics;

(b) multiple peak characteristics;

(c) harmonically correlated characteristics;

(d) non-harmonically correlated characteristics;

(e) time correlated characteristics;

(f) phase correlated characteristics; and

(g) duty cycle characteristics.

6. The emissions detection apparatus of claim 1, wherein the electronic device is connected or being previously connected to a network, wherein the electronic device transmits or previously transmitted a set of parameters through the network, and wherein said set of parameters includes at least one of:

(a) a clock;

(b) a processor type;

(c) a transmission frequency;

(d) power supply switching frequencies;

(e) a transmission speed of data; and

(f) a microcontroller type.

7. The emissions detection apparatus of claim 1, wherein the electronic device is connected or being previously connected to a network, wherein the electronic device transmits or previously transmitted a set of parameters through the network, and wherein said set of parameters includes at least one of:

(a) an Internet Protocol (IP) address;

(b) connection speeds;

(c) modem speeds;

(d) fonts;

(e) clock speeds;

(f) processor speeds;

(g) a hardware configuration;

(h) a software configuration;

(i) passwords; and

(j) a web browsing information.

8. The emissions detection apparatus of claim 1, wherein the electronic device includes at least one electronic component giving off intended or unintended emissions, said at least one component is selected from a group consisting of clocks, processors, microcontrollers, power supplies, power converters, oscillators, resonators and integrated circuits.

9. The emissions detection apparatus of claim 1, wherein the electronic device is connected or was previously connected to a network and wherein said emissions detection apparatus predicts, detects or prevents anomalies in the network and/or monitors status of the network.

10. The emissions detection apparatus of claim 1, wherein said emissions detection apparatus predicts health of the electronic device and/or a component thereof.

11. The emissions detection apparatus of claim 1, wherein the electronic device is a faulty device or a device that transmits a faulty information.

12. The emissions detection apparatus of claim 1, wherein the electronic device is a counterfeited electronic device and wherein said emissions detection apparatus at least one of detects, identifies, diagnoses and geolocates the counterfeited electronic device.

13. The emissions detection apparatus of claim 1, wherein said emissions detection apparatus is configured to detect configurations of the electronic device.

14. The emissions detection apparatus of claim 1, wherein said emissions detection apparatus is configured to detect configurations of the electronic device and/or verify that the electronic device connected to a network is functioning properly.

15. The emissions detection apparatus of claim 1, wherein said emissions detection apparatus is configured to at least one of detect faulty information and diagnose problems with electronic parts that are part of circuits contained in subcomponents of the electronic device connected or connectable to a network.

22. The emissions detection apparatus of claim 1, wherein said emissions collections device is a receiver comprising a low noise amplifier, a tuner and an analog-to-digital converter.

16. An emissions detection apparatus for at least one of detecting, identifying, diagnosing and geolocating an electronic device or an information transmitted from the electronic device, said emissions detection apparatus comprising:

(a) an emissions collections device connected to an antenna receiving an emission of an electromagnetic energy emitted from the electronic device, said emissions collections device collects a spectral data emitted from the electronic device and received at the antenna, said emission collection device including at least a low noise amplifier and a tuner;

(b) one or more algorithms processing said collected spectral data, said one or more algorithms selected from a group consisting of a peak detection algorithm, a multiple peak detection algorithm, a harmonic correlation algorithm, a non-harmonic correlation algorithm, a time correlation algorithm, a phase correlation algorithm, and a duty cycle timing correlation algorithm; and

(c) one or more algorithms matching said processed spectral data to an emissions template, wherein a match of said processed spectral data with the emissions template at least one of detects, identifies, diagnoses and geolocates the electronic device or the information transmitted from the electronic device.

17. The emissions detection apparatus of claim 16, wherein the emissions template includes a set of parameters collected from a network and superimposed onto a frequency spectrum, said set of parameters defining an expected emission signature of the emission of the electromagnetic energy.

18. A method for at least one of detecting, identifying, diagnosing and geolocating an electronic device, said method comprising the steps of:

(a) collecting at least one emission radiated from said electronic device;

(b) processing, in a frequency and time domains with at least one of a peak detection algorithm, a multiple peak detection algorithm, a harmonic correlation algorithm, a non harmonic correlation algorithm, a time correlation algorithm, a phase correlation algorithm, and a duty cycle timing correlation algorithm, said radiated emission to extract a signature of said electronic device;

(c) matching said signature of said radiated emission with an emissions template; and

(d) at least one of detecting, identifying, diagnosing and geolocating said electronic device based on a match of said signature with said emissions template.

19. The method of claim 18, further comprising the step of constructing said emissions template from a set or parameters transmitted by said electronic device through a network.

20. The method of claim 19, further comprising the step of superimposing said set of parameters collected from said network onto a frequency spectrum of said radiated emission, said set of parameters defining an expected signature of said radiated emission.

21. The method of claim 18, further comprising the step of constructing said emissions template from information collected in a cyberspace.