Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text
- Submitting institution
-
Anglia Ruskin University Higher Education Corporation
- Unit of assessment
- 12 - Engineering
- Output identifier
- 864
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2018.07.067
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 300
- Volume
- 115
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a novel approach to detecting phishing attacks. The system is one of the first solutions that integrate the use of text, image, and frame features for phishing detection, using an intelligent Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm for the detection of the phishing attacks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
