With the increasing number of network threats it is essential to have a knowledge of existing and new network threats to design better intrusion detection systems. In this paper we propose a taxonomy for classifying network attacks in a consistent way, allowing security researchers to focus their efforts on creating accurate intrusion detection systems and targeted datasets.
|Title of host publication||2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)|
|Number of pages||4|
|Publication status||Published - 29 Nov 2018|
|Event||Cyber Science 2018: Security, Safety and Survivability in an era of constant, contemporary and complex Physical and Cyber Attacks - Grand Central Hotel, Glasgow, United Kingdom|
Duration: 11 Jun 2018 → 12 Jun 2018
|Conference||Cyber Science 2018|
|Abbreviated title||Cyber SA|
|Period||11/06/18 → 12/06/18|
- Intrusion detection
- Computer crime
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7 Sep 2021
Student thesis: Doctoral ThesisFile