Deep Learning and Big Data Integration with Cuckoo Search Optimization for Robust Phishing Attack Detection

Brij B. Gupta, Akshat Gaurav, Jinsong Wu, Varsha Arya, Kwok Tai Chui

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

Abstract

Currently, phishing attacks are posing great damage to the online community. As traditions, attack detection strategies are not effective against this new type of threat. Hence, there is a need for advanced attack detection techniques. In this context, this research proposed a hybrid deep learning and big data-based technique for phishing attack detection approach. Our proposed approach used Conv2d layers in sequence for analysis of the incoming traffic and predict its behavior. We used different parameters to measure our proposed approach. Through the use of the cuckoo optimization algorithm, the propsed approach achieves a high accuracy of 92%.

Original languageEnglish
Title of host publicationICC 2024 - IEEE International Conference on Communications
EditorsMatthew Valenti, David Reed, Melissa Torres
Pages1322-1327
Number of pages6
ISBN (Electronic)9781728190549
DOIs
Publication statusPublished - 2024
Event59th Annual IEEE International Conference on Communications, ICC 2024 - Denver, United States
Duration: 9 Jun 202413 Jun 2024

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference59th Annual IEEE International Conference on Communications, ICC 2024
Country/TerritoryUnited States
CityDenver
Period9/06/2413/06/24

Keywords

  • Big Data
  • Deep Learning
  • Phishing Attack

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