The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures

Table 3

Results of 50 : 50 train-test ratio, 10-fold cross-validation on all five representations, non-aligned and aligned, using perceptrons, J48 and Naive Bayes.

	Unaligned					Aligned					Unaligned; summary	Aligned; summary
	R1	R2	R3	R4	R5	R1	R2	R3	R4	R5
Perceptrons
Accuracy	0.517	0.533	0.533	0.608	0.617	0.967	0.967	0.975	1	0.983	0.562	0.978
Sensitivity	0.516	0.54	0.542	0.607	0.613	0.983	0.967	0.967	1	0.968	0.564	0.977
Specificity	0.517	0.529	0.528	0.617	0.633	0.95	0.967	0.983	1	1	0.565	0.980
J48
Accuracy	0.483	0.508	0.558	0.542	0.542	0.825	0.883	0.958	0.883	0.975	0.527	0.905
Sensitivity	0.483	0.508	0.554	0.541	0.541	0.783	0.871	0.982	0.848	0.967	0.525	0.890
Specificity	0.483	0.509	0.564	0.55	0.55	0.9	0.9	0.933	0.933	0.983	0.531	0.930
Naive Bayes
Accuracy	0.425	0.475	0.533	0.542	0.542	0.975	0.967	0.992	1	0.983	0.503	0.983
Sensitivity	0.426	0.476	0.537	0.545	0.545	0.983	0.967	0.984	1	0.968	0.506	0.980
Specificity	0.424	0.474	0.53	0.5	0.5	0.967	0.967	1	1	1	0.486	0.987
Summary
Accuracy	0.475	0.506	0.542	0.564	0.567	0.922	0.939	0.975	0.961	0.98	0.531	0.955
Sensitivity	0.475	0.508	0.544	0.564	0.566	0.916	0.935	0.978	0.949	0.968	0.531	0.949
Specificity	0.475	0.504	0.541	0.556	0.561	0.939	0.945	0.972	0.978	0.994	0.527	0.966