RANSOM PREDICTION USING ML ALGORITHMRANSOM PREDICTION USING ML ALGORITHM

Kanakam Maruthi Narasimha Rao; Konda Saiteja; Kamini Vasu; Raj Kumar P; Dr.K.S.Ramanujam

doi:10.71097/IJSAT.v16.i2.3169

RANSOM PREDICTION USING ML ALGORITHMRANSOM PREDICTION USING ML ALGORITHM

Author(s)	Kanakam Maruthi Narasimha Rao, Konda Saiteja, Kamini Vasu, Raj Kumar P, Dr.K.S.Ramanujam
Country	India
Abstract	As wireless communication has advanced, there are several online security risks. The ransomware prediction system assists in identifying system threats and malware detection. In the past, a variety of machine learning (ML) techniques have been used to try to improve the accuracy of the ransom malware system and the outcomes of malware detection. Using the random forest classification technique and principal component analysis (PCA), this research has suggested a method for creating an effective ransomware system. Whereas the random forest will aid in classification, the PCA will assist in organizing the dataset by lowering its dimensionality. According to the results, the suggested method outperforms other methods like SVM, Naïve Bayes, and Decision Trees in terms of accuracy. Performance time (min) is 3.24 minutes, accuracy rate (%) is 96.78%, and error rate (%) is 0.21% according to the results of the suggested approach
Keywords	Online Security Risks, Ransom Ware, ML, Random Forest, PCA, Outperforms
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-08
Cite This	RANSOM PREDICTION USING ML ALGORITHMRANSOM PREDICTION USING ML ALGORITHM - Kanakam Maruthi Narasimha Rao, Konda Saiteja, Kamini Vasu, Raj Kumar P, Dr.K.S.Ramanujam - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3169
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3169
Short DOI	https://doi.org/g9fchd

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RANSOM PREDICTION USING ML ALGORITHMRANSOM PREDICTION USING ML ALGORITHM

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