178

R. O. Ogundokun et al.

Fig. 3 Improved KNN confusion matrix

Table 1 Confusion matrix for the classifiers

Classifier

TP

TN

FP

FN

Traditional KNN

39

10

11

0

Improved KNN

38

20

1

1

Table 2 Comparative

analysis between the

classifiers

Measure

T-KNN

I-KNN

Accuracy

81.7%

96.7%

Detection rate

100%

97.4%

False-positive rate

0.22

0.048

References

1. Diedrich H (2016) Ethereum—Blockchains, digital assets, smart contracts, decentralized

autonomous organizations. Wildfire Publishing, Washington, DC

2. Salah K, Rehman MH, Nizamuddin N, Al-Fuqaha A (2019) Blockchain for AI: review and open

research challenges. IEEE Access 7:10127–10149. https://doi.org/10.1109/ACCESS.2018.289

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