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A Comprehensive Survey of Recent Phishing Attacks Detection Techniques

  • S. Priya*
  • , Danat Gutema
  • , Shweta Singh*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Phishing attacks lead to fraudulent acquisition of user credentials, which is turn result in potential harm to reputation and financial security of individuals and organization. The initial instances of phishing attacks emerged in mid of 1990, when a group of hackers impersonated AOL employees through instant messages and emails, aiming to steal passwords and hijack accounts. Over the past two decades, the number of internet users has consistently grown, which has consequently led to an increase in attackers employing various technologies, software, and malicious tools. The proliferation of devices such as computers and smartphones has further contributed to the rapid rise of phishing attacks. These attacks can lead to severe financial theft and pose a significant risk to the reputation of organizations. To counter this threat, numerous techniques and algorithms have been developed and implemented. This paper explores the different detection methods, providing an analysis of their strengths and limitations.

Original languageEnglish
Title of host publication2024 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350386813
DOIs
Publication statusPublished - 2024
Event5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024 - Kottayam, India
Duration: 15-03-202416-03-2024

Publication series

Name2024 5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024

Conference

Conference5th International Conference on Innovative Trends in Information Technology, ICITIIT 2024
Country/TerritoryIndia
CityKottayam
Period15-03-2416-03-24

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Information Systems and Management
  • Media Technology

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