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Table 2 The results of comparing the nine methods on the 30-28 dataset

From: An artificial immunity approach to malware detection in a mobile platform

Method

Accuracy

TPR

TNR

FPR

FNR

GEFeS

70%

(53.67)

40%

(14.00%)

100.0%

(93.33%)

0.00%

(6.67%)

60.00%

(86.00%)

AIS −SDM,−GEFeS

53.33% (35.39%)

80.00% (49.00%)

26.67%

(21.78%)

73.33%

(78.22%)

20.00%

(51.00%)

AIS +SDM,−GEFeS

50.00%

(33.50%)

80.00%

(46.11%)

20.00%

(20.89%)

80.00%

(79.11%)

20.00%

(53.89%)

AIS −SDM, +GEFeS

51.67%

(32.11%)

83.33%

(42.44%)

20.00%

(21.78%)

80.00%

(78.22%)

16.67%

(57.56%)

AIS +SDM, +GEFeS

56.67% (32.82%)

93.33% (43.56%)

20.00% (22.07%)

80.00% (77.93%)

6.67% (56.44%)

mAIS -SDM, −GEFeS

88.33%

(66.72%)

76.67%

(46.00%)

100.00%

(87.44%)

0.00%

(12.56%)

23.33%

(54.00%)

mAIS +SDM, −GEFeS

86.67%

(64.39%)

73.33%

(44.22%)

100.00%

(84.56%)

0.00%

(15.44%)

26.67%

(55.78%)

mAIS −SDM, +GEFeS

86.67%

(60.72%)

73.33%

(41.11%)

100.00%

(80.33%)

0.00%

(19.67%)

26.67%

(58.89%)

mAIS +SDM, +GEFeS

93.33% (60.29%)

86.67% (42.86%)

100.00% (77.71%)

0.00% (22.29%)

13.33% (57.14%)

  1. The best performances given a particular statistical measure are italicized