Experimental large-scale review of attractors for detection of potentially unwanted applications
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 16615675
- Type
- D - Journal article
- DOI
-
10.1016/j.cose.2018.02.017
- Title of journal
- Computers and Security
- Article number
- -
- First page
- 92
- Volume
- 76
- Issue
- -
- ISSN
- 0167-4048
- Open access status
- Compliant
- Month of publication
- March
- 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
-
5
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first paper to rigorously evaluate the effectiveness of using security warning feedback principles in order to encourage users to enable the detection of potentially unwanted software. The results of this large-scale, multi-country field study with 15 structured interfaces prompted the partner company, ESET, to modify the installation screen dialogues of their security software based on our proposed changes in order to increase the level of security protection for users (Palo Luka, luka@eset.sk).
Contribution: Just’s contribution was to the design of the study and associated interfaces, and paper co-writing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
