A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites

Thomas Nagunwa*, Syed Naqvi, Shereen Fouad, Hanifa Shah

*Corresponding author for this work

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

4 Citations (SciVal)
Original languageEnglish
Title of host publicationInternational Joint Conference
Subtitle of host publication12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings
EditorsFrancisco Martínez Álvarez, Alicia Troncoso Lora, Héctor Quintián, José António Sáez Muñoz, Emilio Corchado
PublisherSpringer Verlag
Pages36-46
Number of pages11
ISBN (Print)9783030200046
DOIs
Publication statusPublished (VoR) - 2020
EventInternational Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019 - Seville, Spain
Duration: 13 May 201915 May 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume951
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019
Country/TerritorySpain
CitySeville
Period13/05/1915/05/19

Funding

Acknowledgement. The research leading to the results presented in the paper was partially funded by the UK Commonwealth Scholarship Commission (CSC).

FundersFunder number
Commonwealth Scholarship Commission

    Keywords

    • Machine learning
    • Phishing
    • Phishing webpage detection
    • Webpage features
    • Zero hour phishing website

    Fingerprint

    Dive into the research topics of 'A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites'. Together they form a unique fingerprint.

    Cite this