Predictions of On-Line Banks' Fraudulent: A Study on Discriminant Analysis

摘要

The information and communication technology (ICT) is growing fast in the co mmunity along with some risks. The on-line banks' fraudulent are increasing dramatically resulting in the loss of money and retardate the growth on economic development. Some law enforcers like Tanzanian police yet use the traditional prevention technologies to investigate these on-line banks' fraudulent cases mainly known as cyber crimes. For the p urpose of this study, 150 data were collected as cyber criminals and non criminals. 100 d ata were cyber criminals out of the total sample size. With the aid of the discriminant analysis tools predicted cyber criminals against non criminal that 88% were overall, sensitivity was 73.9% and specific was 100%. However, the results from cyber criminals relatively with their ages implicated that the overall was 80.7%, sensitivity was 91.7% and specific was 75.5%. As technology advances, the law enforcers like police need to use the modern tools to predict these cases