Could you solve A and B if possbile

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Could you solve A and B if possbile

true ID claimed ID
01
01
01
01
01
01
02
02
02
02
03
03
03
03
04
04
04
04
04
04
04
04
04
05
05
05
05
05
05
06
06
06
06
06
06
07
07
07
07
07
07
07
08
08
08
01
01
11
17
20
22
02
06
13
23
03
03
18
22
04
04
04
04
04
11
13
13
14
05
05
05
05
07
24
06
06
06
06
20
24
07
07
07
07
07
14
18
04
04
08
score
0.98
0.73
0.32
0.21
0.36
0.23
0.43
0.23
0.39
0.27
0.79
0.41
0.16
0.58
0.69
0.61
0.70
0.48
0.64
0.55
0.67
0.90
0.47
0.92
0.68
0.42
0.61
0.25
0.33
0.71
0.78
0.89
0.88
0.17
0.61
0.64
0.67
0.56
0.81
0.96
0.29
0.49
0.57
0.06
0.77
Table 1
true ID claimed ID
08
08
10
10
10
10
10
10
11
11
11
11
11
12
12
12
12
12
12
12
12
13
13
13
13
13
13
13
14
14
14
14
14
15
15
15
15
15
15
15
15
16
16
16
16
13
14
05
07
10
10
10
19
09
11
11
11
14
01
12
12
12
12
12
20
20
05
13
13
13
13
13
13
04
14
14
14
14
03
10
15
15
15
18
21
25
11
16
16
19
score
0.01
0.41
0.25
0.14
0.64
0.70
0.63
0.47
0.40
0.78
0.95
0.60
0.36
0.39
0.81
0.65
0.95
0.74
0.48
0.56
0.60
0.11
0.72
0.74
0.81
0.63
0.56
0.91
0.11
0.70
0.59
0.29
0.51
0.24
0.32
0.64
0.52
0.73
0.52
0.32
0.46
0.42
0.71
0.95
0.23
true ID
=============2885-555-888********************
claimed ID
08
11
17
17
17
17
21
15
18
18
01
07
12
20
20
20
13
14
19
21
21
25
01
03
12
22
06
08
13
23
23
23
23
23
02
23
24
03
21
24
25
25
25
25
25
score
0.68
0.22
0.80
0.88
0.97
0.69
0.38
0.44
0.56
0.47
0.34
0.08
0.20
0.89
0.77
0.76
0.15
0.43
0.34
0.79
0.72
0.13
0.51
0.72
0.04
0.78
0.26
0.27
0.70
0.92
0.65
0.40
0.18
0.66
0.55
0.68
0.51
0.68
0.21
0.16
0.69
0.77
0.72
0.97
0.71
Transcribed Image Text:true ID claimed ID 01 01 01 01 01 01 02 02 02 02 03 03 03 03 04 04 04 04 04 04 04 04 04 05 05 05 05 05 05 06 06 06 06 06 06 07 07 07 07 07 07 07 08 08 08 01 01 11 17 20 22 02 06 13 23 03 03 18 22 04 04 04 04 04 11 13 13 14 05 05 05 05 07 24 06 06 06 06 20 24 07 07 07 07 07 14 18 04 04 08 score 0.98 0.73 0.32 0.21 0.36 0.23 0.43 0.23 0.39 0.27 0.79 0.41 0.16 0.58 0.69 0.61 0.70 0.48 0.64 0.55 0.67 0.90 0.47 0.92 0.68 0.42 0.61 0.25 0.33 0.71 0.78 0.89 0.88 0.17 0.61 0.64 0.67 0.56 0.81 0.96 0.29 0.49 0.57 0.06 0.77 Table 1 true ID claimed ID 08 08 10 10 10 10 10 10 11 11 11 11 11 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 14 14 14 14 14 15 15 15 15 15 15 15 15 16 16 16 16 13 14 05 07 10 10 10 19 09 11 11 11 14 01 12 12 12 12 12 20 20 05 13 13 13 13 13 13 04 14 14 14 14 03 10 15 15 15 18 21 25 11 16 16 19 score 0.01 0.41 0.25 0.14 0.64 0.70 0.63 0.47 0.40 0.78 0.95 0.60 0.36 0.39 0.81 0.65 0.95 0.74 0.48 0.56 0.60 0.11 0.72 0.74 0.81 0.63 0.56 0.91 0.11 0.70 0.59 0.29 0.51 0.24 0.32 0.64 0.52 0.73 0.52 0.32 0.46 0.42 0.71 0.95 0.23 true ID =============2885-555-888******************** claimed ID 08 11 17 17 17 17 21 15 18 18 01 07 12 20 20 20 13 14 19 21 21 25 01 03 12 22 06 08 13 23 23 23 23 23 02 23 24 03 21 24 25 25 25 25 25 score 0.68 0.22 0.80 0.88 0.97 0.69 0.38 0.44 0.56 0.47 0.34 0.08 0.20 0.89 0.77 0.76 0.15 0.43 0.34 0.79 0.72 0.13 0.51 0.72 0.04 0.78 0.26 0.27 0.70 0.92 0.65 0.40 0.18 0.66 0.55 0.68 0.51 0.68 0.21 0.16 0.69 0.77 0.72 0.97 0.71
3. An automated handwritten signature verification system is being tested. Twenty five
volunteers ('01' to '25') are enrolled for this exercise. They attempt to access the
system both as genuine users as well as impostors (i.e., pretending to be someone
else). Table 1 shows the data log of the matching scores from these trial attempts
(denoting the similarity of the presented biometric to the enrolled template). The
scores ranged between [0 1]. A high score implies better match between the live
sample and the stored template. Any match score greater than the operator-selected
threshold (0) results in successful authentication.
(a) Calculate the False Acceptance Rate (FAR) and the False Rejection Rate (FRR)
of the system for a threshold of 0 = 0.65.
(b) Also determine the FAR and FRR values for 0 = 0.25, 0.35, 0.45, 0.55 and 0.75.
(c) Hence plot the Detector-Error-Trade-off (DET) characteristics of the system. [You
must use a proper graph paper (with appropriate/adequate grids) for this plot. The plot
may be hand drawn or software generated.]
(d) Determine, graphically or otherwise, the Equal Error Rate (EER) of the system.
Transcribed Image Text:3. An automated handwritten signature verification system is being tested. Twenty five volunteers ('01' to '25') are enrolled for this exercise. They attempt to access the system both as genuine users as well as impostors (i.e., pretending to be someone else). Table 1 shows the data log of the matching scores from these trial attempts (denoting the similarity of the presented biometric to the enrolled template). The scores ranged between [0 1]. A high score implies better match between the live sample and the stored template. Any match score greater than the operator-selected threshold (0) results in successful authentication. (a) Calculate the False Acceptance Rate (FAR) and the False Rejection Rate (FRR) of the system for a threshold of 0 = 0.65. (b) Also determine the FAR and FRR values for 0 = 0.25, 0.35, 0.45, 0.55 and 0.75. (c) Hence plot the Detector-Error-Trade-off (DET) characteristics of the system. [You must use a proper graph paper (with appropriate/adequate grids) for this plot. The plot may be hand drawn or software generated.] (d) Determine, graphically or otherwise, the Equal Error Rate (EER) of the system.
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