Detection of Malicious Applications using YOLO V3-Spatial Pyramid Pooling over Optical Character Recognition for Computing Access Time

Gowtham V () and Devi T ()

SPAST Reports, 2024, vol. 1, issue 3

Abstract: The goal of research is to use the Novel YOLO V3 SPP for detecting malicious applications while comparingit with the OCR technique for computation of access time. Materials and Methods: The Innovative YOLO V3SPP algorithm is used to determine access time using a sample size of (N=25), a total sample size of (N=50),and G power is computed to be 80%. In terms of data exploitation prediction, the Novel YOLO V3 SPP hasan access time that is slower (83.36ms) than the OCR algorithm's (79.64ms). According to the results, thereis no statistically significant difference between the Novel YOLO V3 SPP Algorithm and the OCR Algorithmwith p=0.218 (independent sample t-test p<0.05). In comparison to OCR's access time of 79.64ms, the novelYOLO V3 SPP method predicts vulnerabilities in native programmes with a longer access time of 83.36ms.

Keywords: Android Application; Deep Learning; National Security (search for similar items in EconPapers)
Date: 2024
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