Predicting multi-stage attacks based on IP information
Multi-stage attacks can evolve dramatically, causing much loss and damage to organisations. These attacks are frequently instigated by exploiting actions, which in isolation are legal, and are therefore particularly challenging to detect. Much research has been conducted in the multi-stage detection...
Saved in:
Main Authors: | Abdulrazaq Almutairi, James Flint, David J. Parish |
---|---|
Format: | Default Conference proceeding |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/2134/20723 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting multi-stage attacks based on hybrid approach
by: Abdulrazaq Almutairi, et al.
Published: (2015) -
Improving intrusion detection by the automated generation of detection rules
by: Abdulrazaq Almutairi, et al.
Published: (2014) -
Multi-stage attack detection using contextual information
by: Kostas Kyriakopoulos, et al.
Published: (2018) -
Improving intrusion detection systems using data mining techniques
by: Abdulrazaq Z. Almutairi
Published: (2016) -
Addressing multi-stage attacks using expert knowledge and contextual information
by: Francisco J. Aparicio-Navarro, et al.
Published: (2019)