Measuring a resistance against an adversarial attack and estimating a parameter of an interference source
AssigneeRohde & Schwarz GmbH & Co. KG
InventorsTimo Mayer, Mikhail Volianskii
Life of this patent
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Abstract
A measurement device for measuring a resistance of a communication system against an adversarial attack is provided. The measurement device is configured to carry out an adversarial attack on a device under test comprised by the communication system. The measurement device is further configured to measure the resistance of the device under test against the adversarial attack and to carry out the adversarial attack using a radio frequency, RF, signal and generate interference signals by means of a neural network. Also, a device for detection and parameter estimation of an interference source is provided, configured to detect an adversarial attack on a device in a communication system.
Claims12
A measurement device for measuring a resistance of a communication system against an adversarial attack, wherein the measurement device is configured to:
- carry out an adversarial attack on a device under test, DUT, comprised by the communication system;
- and
- measure the resistance of the DUT against the adversarial attack, wherein the measurement device is further configured to carry out the adversarial attack using a radio frequency, RF, signal and generate interference signals by means of a neural network,
- wherein the adversarial attack comprises using of at least one manipulated input signal into the neural network to manipulate interference classification results of the neural network,
- wherein the measurement device is further configured to predefine the interference signals and/or generate the interference signals in a fixed order, and
- wherein the measurement device is further configured to manipulate the interference signals prior to being output to the DUT.
A method for measuring a resistance of a communication system against an adversarial attack, wherein the method comprises the steps of:
- carrying out, by a measurement device, an adversarial attack on a device under test, DUT, comprised by the communication system;
- and
- measuring, by the measurement device, the resistance of the DUT against the adversarial attack, wherein the method further comprises the step of carrying out, by the measurement device, the adversarial attack using a radio frequency, RF, signal and generating, by the measurement device, interference signals by means of a neural network,
- wherein the adversarial attack comprises using of at least one manipulated input signal into the neural network to manipulate interference classification results of the neural network,
- wherein the method further comprises the step of predefining the interference signals and/or generating the interference signals in a fixed order, and
- wherein the method further comprises the step of manipulating the interference signals prior to being output to the DUT.
A device for detection and parameter estimation of an interference source, wherein the device is configured to detect an adversarial attack on a device in a communication system, wherein the device is further configured to estimate and use parameters of interference signals to determine a location of an interference source,
- wherein the adversarial attack comprises using of at least one manipulated input signal into a neural network to manipulate interference classification results of the neural network,
- wherein the interference signals are predefined and/or generated the in a fixed order, and
- wherein the interference signals are manipulated prior to being output to the device in the communication system.
A method for detection and parameter estimation of an interference source, wherein the method comprises the step of detecting an adversarial attack on a device in a communication system,
- wherein the method further comprises the step of estimating and using parameters of interference signals to determine a location of an interference source,
- wherein the adversarial attack comprises using of at least one manipulated input signal into a neural network to manipulate interference classification results of the neural network,
- wherein the interference signals are predefined and/or generated the in a fixed order, and
- wherein the interference signals are manipulated prior to being output to the device in the communication system.
A non-transitory computer-readable medium comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of:
- carrying out, by a measurement device, an adversarial attack on a device under test, DUT, comprised by the communication system;
- and
- measuring, by the measurement device, the resistance of the DUT against the adversarial attack,
- wherein the method further comprises the step of carrying out, by the measurement device, the adversarial attack using a radio frequency, RF, signal and generating, by the measurement device, interference signals by means of a neural network,
- wherein the adversarial attack comprises using of at least one manipulated input signal into a neural network to manipulate interference classification results of the neural network,
- wherein the method further comprises the step of predefining the interference signals and/or generating the interference signals in a fixed order, and
- wherein the method further comprises the step of manipulating the interference signals prior to being output to the DUT.
Dependencies are inferred from the claim text.