Prediction of Cybercrime using the Avinashak Algorithm

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Published: Jan 24, 2024
DOI: https://doi.org/10.54105/ijainn.A1078.124123
Keywords:
Cybercrime, Deep Learning Methods, Avinashak Algorithm

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Haritha Rajeev
Research Scholar, Department of Information Technology, Lincoln University College, Malaysia.
https://orcid.org/0000-0002-0107-885X
Dr. Midhun Chakkaravarty
Assistant Professor, Department of Information Technology, Lincoln University College, Malaysia
https://orcid.org/0000-0002-0107-885X

Abstract

The detection and prevention of phishing websites continue to be major obstacles in the continually changing field of cybersecurity. Phishing attacks continue to use sophisticated methods to exploit user vulnerabilities, thus it is vital to predict and identify these malicious websites. Traditional techniques for detecting phishing sites frequently rely on rule-based and domain-based approaches, which might not adequately capture the dynamic nature of phishing attacks. The Avinashak Crime Prediction Algorithm appears to be a proprietary or specialized algorithm not widely known in the machine learning community. Its details and working principles are not publicly available, which makes it challenging to provide a detailed explanation without additional information.

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Haritha Rajeev and Dr. Midhun Chakkaravarty , Trans., “Prediction of Cybercrime using the Avinashak Algorithm”, IJAINN, vol. 4, no. 1, pp. 5–10, Jan. 2024, doi: 10.54105/ijainn.A1078.124123.
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Vol. 4 No. 1 (2023): Volume-4 Issue-1 December 2023
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[1]
Haritha Rajeev and Dr. Midhun Chakkaravarty , Trans., “Prediction of Cybercrime using the Avinashak Algorithm”, IJAINN, vol. 4, no. 1, pp. 5–10, Jan. 2024, doi: 10.54105/ijainn.A1078.124123.
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