K-Nearest Neighbor Based URL Identification Model for Phishing Attack Detection
Volume: 1, Issue: 2, Pages: 18 - 21
Published: Apr 10, 2021
Abstract
Phishing causes many problems in business industry. The electronic commerce and electronic banking such as mobile banking involves a number of online transaction. In such online transactions, we have to discriminate features related to legitimate and phishing websites in order to ensure security of the online transaction. In this study, we have collected data form phish tank public data repository and proposed K-Nearest Neighbors (KNN) based...
Paper Details
Title
K-Nearest Neighbor Based URL Identification Model for Phishing Attack Detection
Published Date
Apr 10, 2021
Volume
1
Issue
2
Pages
18 - 21
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History