An Investigation of Using Classification Techniques in Prediction of Type of Targets in Cyber Attacks

POURNOURI, Sina, ZARGARI, Shahrzad and AKHGAR, Babak (2019). An Investigation of Using Classification Techniques in Prediction of Type of Targets in Cyber Attacks. In: 12th IEEE International Conference on Global Security, Safety and Sustainability, ICGS3 2019, London, UK, January 16-18, 2019. IEEE, 122-132. [Book Section]

Documents
27587:561326
[thumbnail of 08688266.pdf]
PDF
08688266.pdf - Published Version
Restricted to Repository staff only
Available under License All rights reserved.

Download (385kB)
Abstract
© 2019 IEEE. Prediction of type of targets in cyber-attacks can be very important in designing an extensive framework to tackle future cyber incidents. Different sectors based on the nature of their business can be a specific target for some types of cyber-attack. Different businesses need to learn from past mistakes and identify the potential risks and vulnerabilities in order to be prepared against future cyber breaches. This study aims to investigate prediction of type of targets based on classification techniques and Open Source Intelligence.
More Information
Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item