Comparisons of machine learning techniques for detecting malicious webpages
- Submitting institution
-
London Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 05.11
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2014.08.046
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 1166
- Volume
- 42
- Issue
- 3
- ISSN
- 0957-4174
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- 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
-
-
- Research group(s)
-
3 - Intelligent Systems Research Centre
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -