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Article
Character-level word encoding deep learning model for combating cyber threats in phishing URL detection
Computers and Electrical Engineering
  • Mohammed Alshehri, Majmaah University
  • Ahed Abugabah, Zayed University
  • Abdullah Algarni, Institute of Public Administration Riyadh
  • Sultan Almotairi, Majmaah University
Document Type
Article
Publication Date
5-1-2022
Abstract

A cyber threat is generally a malicious activity that damages or steals data, or something that disrupts digital life. Such threats include viruses, security breaches, DoS attacks, and data theft. Phishing is a type of cyber threat whereby the attackers mimic a genuine URL or a webpage and steal user data, 21% fall into the phishing category. The novel approach of using the character-level encoding of URLs is introduced. Unlike word-level encoding, the use of character-level encoding decreases the discrete workspace and can be effective even in an energy-constrained environment. The experimental results of comparisons to other state-of-the-art methods demonstrate that the proposed method achieved 98.12% of true positive instances. Moreover, Conclusions: An experimental evaluation was performed to demonstrate the efficiency, and it was observed that the accuracy reached an all-time high of 98.13%. the experiments prove that the proposed method can operate efficiently even in energy-saving modes of phishing detection systems.

Publisher
Elsevier BV
Disciplines
Keywords
  • cyber threat,
  • deep learning,
  • deep learning model,
  • machine learning,
  • phishing
Scopus ID
85125833672
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1016/j.compeleceng.2022.107868
Citation Information
Mohammed Alshehri, Ahed Abugabah, Abdullah Algarni and Sultan Almotairi. "Character-level word encoding deep learning model for combating cyber threats in phishing URL detection" Computers and Electrical Engineering Vol. 100 (2022) ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0045-7906" target="_blank">0045-7906</a>
Available at: http://works.bepress.com/ahed-abugabah/37/