VoterChoice: A ransomware detection honeypot with multiple voting framework. (6th April 2020)
- Record Type:
- Journal Article
- Title:
- VoterChoice: A ransomware detection honeypot with multiple voting framework. (6th April 2020)
- Main Title:
- VoterChoice: A ransomware detection honeypot with multiple voting framework
- Authors:
- Keong Ng, Chee
Rajasegarar, Sutharshan
Pan, Lei
Jiang, Frank
Zhang, Leo Yu - Abstract:
- Summary: This research presents a novel framework comprising the IPS gateway, analysis system, and honeypot for identifying and detecting ransomware based on the client honeypot concept, and active interception of downloads using Suricata inline intruder prevention system. Unlike previous frameworks that report on the accuracy rate of detecting ransomware, the proposed framework features a multiple voting platform for the validation of confidence levels in the accuracy detection rates. The proposed framework achieves high accuracy levels than other machine learning models for the detection of ransomware.
- Is Part Of:
- Concurrency and computation. Volume 32:Number 14(2020)
- Journal:
- Concurrency and computation
- Issue:
- Volume 32:Number 14(2020)
- Issue Display:
- Volume 32, Issue 14 (2020)
- Year:
- 2020
- Volume:
- 32
- Issue:
- 14
- Issue Sort Value:
- 2020-0032-0014-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-04-06
- Subjects:
- dynamic analysis -- machine learning -- malware -- ransomware -- static analysis
Parallel processing (Electronic computers) -- Periodicals
Parallel computers -- Periodicals
004.35 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cpe.5726 ↗
- Languages:
- English
- ISSNs:
- 1532-0626
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3405.622000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13330.xml