Prediction of Cybercrime using the Avinashak Algorithm
Haritha Rajeev1, Midhun Chakkravarthy2
1Haritha Rajeev, Research Scholar, Department of Information Technology, Lincoln University College, Malaysia.
2Dr. Midhun Chakkaravarty, Assistant Professor, Department of Information Technology, Lincoln University College, Malaysia.
Manuscript received on 16 October 2023 | Revised Manuscript received on 13 December 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023 | PP: 5-10 | Volume-4 Issue-1, December 2023 | Retrieval Number: 100.1/ijainn.A1078124123 | DOI: 10.54105/ijainn.A1078.124123
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Cybercrime, Deep Learning Methods, Avinashak Algorithm.
Scope of the Article: Deep Learning