A new method for Detection of Phishing Websites: URL Detection

被引：0

作者：

Parekh, Shraddha ^{[1
]}

Parikh, Dhwanil ^{[1
]}

Kotak, Srushti ^{[1
]}

Sankhe, Smita ^{[1
]}

机构：

[1] KJ Somaiya Coll Engn, Dept Comp Engn, Mumbai, India

来源：

PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT) | 2018年

关键词：

URL detection; phishing; random forests classification; ROC curve; detection using Rstudio;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Phishing is an unlawful activity wherein people are misled into the wrong sites by using various fraudulent methods. The aim of these phishing websites is to confiscate personal information or other financial details for personal benefits or misuse. As technology advances, the phishing approaches used need to get progressed and there is a dire need for better security and better mechanisms to prevent as well as detect these phishing approaches. The primary focus of this paper is to put forth a model as a solution to detect phishing websites by using the URL detection method using Random Forest algorithm. There are 3 major phases such as Parsing, Heuristic Classification of data, Performance Analysis in this model and each phase makes use of a different technique or algorithm for processing of data to give better results.

引用

页码：949 / 952

页数：4