sensing and the environment Flashcards

1
Q

What is a wave?

A

Field disturbances that transfer energy from one location to another

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2
Q

What is a detector?

A

devices used to measure the characteristics of field disturbances

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3
Q

What do characteristics of disturbances reveal?

A

information about a waves origin

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4
Q

What can waves carry?

A

information from one location to another which is accessed by detection

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5
Q

What can EM radiation tell us about stars?

A

material composition

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6
Q

define passive sensing system

A

a system that generates a signal in response to a stimulus under normal environmental conditions
eg retina, some metal detectors

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7
Q

Define an active detection system

A

a system where the sensor requires a non natural stimuli to generate a signal, eg x ray system, MRI

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8
Q

Describe active detection in a cyber context

A

the sensor(s)uses a digital probe signal to instigate a response from a target, which is then measured. Requires more computing power and potentially less susceptible to data poisoning.

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9
Q

Describe passive detection in a cyber context

A

the sensor(s) measure ambient digital signals only, without the use of a probe on the target. Can be more susceptible to data poisoning than active measures

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10
Q

Describe binary classifiers

A

most detection cases we care about binary classification eg on/off, high/low, moving/stationary

in a security context - threat/non threat

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11
Q

Describe a confusion matrix

A

red/green matrix, at simplest a 4 square grid

X axis - signal/actual/object
Y axis - detector response/predicted values

Green is real positives/negatives
Red is false positives/negatives

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12
Q

What is the X axis of a confusion matrix?

A

X axis - signal/actual/object

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13
Q

What is the Y axis of a confusion matrix?

A

Y axis - detector response/predicted values

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14
Q

What are the green regions of a confusion matrix?

A

Green is real positives/negatives

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15
Q

What are the red regions of a confusion matrix?

A

Red is false positives/negatives

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16
Q

On a 4 square confusion matrix, what are the 4 binary classifiers?

A

True positive - TP
True negative - TN
False positive - FP
False negative - FN

17
Q

What are the 5 base calculations on a confusion matrix that help define how good a detector is?

A

Total positive = TP + FN
Total negative = FP + TN
Total true readings = TP + TN
Total false readings = FP + FN
Total readings = TP + TN + FP + FN

18
Q

how to calculate accuracy on a confusion matrix

A

Accuracy = total positive / total measurements

19
Q

What is specificity of a detector?

A

Specificity is the true positive rate

20
Q

How do you calculate specificity?

A

True positive rate = TP / (TP + FN)

21
Q

What is sensitivity of a detector?

A

true negative rate

22
Q

how do you calculate sensitivity?

A

true negative rate = TN / (FP + TN)

23
Q

What measure indicates that a detector will alarms correctly?

A

Specificity or true positive rate

24
Q

What gives the probability that a detector will alarm incorrectly?

A

Incorrect alarm rate = 1 - true negative rate

25
Q

Define a ROC curve?

A

Receiver Operator Characteristic curve

a way of plotting all possible confusion matrices to make it easy to identify the best threshold to make a decision.

26
Q

define the axis of a ROC graph

A

X - False positive rate (1 - sensitivity )
Y - true positive rate (specificity )

27
Q

What is 1, 1 on an ROC curve?

A

no true or false negatives

28
Q

What does going up the Y axis on the ROC curve mean?

A

increased probability of detection

29
Q

What does going up the x axis mean?

A

increase in the probability of false alarm

30
Q

What is AUC?

A

Area under the curve

31
Q

What is ROC sensitivity index?

A

dā€™ or D prime is the distance a ROC curve is from the 0,0 1,1 graph. in general, the further from the 0,0 1,1 grpah the better the sensor is, but this will be dependant on risk appetite for false alarms.