Prediction of Cybercrime by using Euclidean Voronoi on Persons Arrested under Cybercrime
R. Deepalakshmi
Dr. R. Deepalakshmi, Computer Applications, (Tamil Nadu) Dr. Ambedkar Law University, Chennai, India.
Manuscript received on 11 August 2019. | Revised Manuscript received on 16 August 2019. | Manuscript published on 30 September 2019. | PP: 8739-8741 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6531098319/2019©BEIESP | DOI: 10.35940/ijrte.C6531.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cybercrime has many dimensions. Mails sent from one person to another may have much illegal content. Cybercrime has gained recent significance in current situation. Mathematical models have proved to give more accurate results in Cybercrime analysis and prediction. Euclidean distance with Voronoi diagrams is a recent mathematical diagram which is divided into regions based on points in a plane. Thiessen polygons gain popularity in science and technology. This paper finds the solution to analyse data based on persons arrested under cybercrime.
Keywords: Cybercrime, Euclidean Distance, Voronoi Diagrams, Thiessen Polygons
Scope of the Article: Regression and Prediction