Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence
- Submitting institution
-
University of Salford, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 44434
- Type
- D - Journal article
- DOI
-
10.1109/TETC.2017.2756908
- Title of journal
- IEEE Transactions on Emerging Topics in Computing
- Article number
- -
- First page
- 341
- Volume
- 8
- Issue
- 2
- ISSN
- 2168-6750
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- 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
-
4
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -