CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Predicting cybersecurity incidents using machine learning algorithms: a case study of Korean SMEs
Authors
Benjamin Aziz
Jeyong Jung
Julak Lee
Alaa Mohasseb
Publication date
24 February 2019
Publisher
INSTICC
Abstract
Abstract is not available.
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Portsmouth University Research Portal (Pure)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:researchportal.port.ac.uk:...
Last time updated on 05/04/2019