Phishing Web Page Detection Methods: URL and HTML Features Detection

Humam Faris, Setiadi Yazid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Phishing is a type of fraud on the Internet in the form of fake web pages that mimic the original web pages to trick users into sending sensitive information to phisher. The statistics presented by APWG and Phistank show that the number of phishing websites from 2015 to 2020 tends to increase continuously. To overcome this problem, several studies have been carried out including detecting phishing web pages using various features of web pages with various methods. Unfortunately, the use of several methods is not really effective because the design and evaluation are only too focused on the achievement of detection accuracy in research, but evaluation does not represent application in the real world. Whereas a security detection device should require effectiveness, good performance, and deployable. In this study the authors evaluated several methods and proposed rules-based applications that can detect phishing more efficiently.

Original languageEnglish
Title of host publicationIoTaIS 2020 - Proceedings
Subtitle of host publication2020 IEEE International Conference on Internet of Things and Intelligence Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages167-171
Number of pages5
ISBN (Electronic)9781728194486
DOIs
Publication statusPublished - 27 Jan 2021
Event2020 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2020 - Virtual, Bali, Indonesia
Duration: 27 Jan 202128 Jan 2021

Publication series

NameIoTaIS 2020 - Proceedings: 2020 IEEE International Conference on Internet of Things and Intelligence Systems

Conference

Conference2020 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2020
CountryIndonesia
CityVirtual, Bali
Period27/01/2128/01/21

Keywords

  • information security
  • phishing detection
  • phishing webpage
  • URL and HTML features

Fingerprint Dive into the research topics of 'Phishing Web Page Detection Methods: URL and HTML Features Detection'. Together they form a unique fingerprint.

Cite this