A taxonomy of malicious traffic for intrusion detection systems

Hanan Hindy, Elike Hodo, Ethan Bayne, Amar Seeam, Robert Atkinson, Xavier Bellekens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
147 Downloads (Pure)


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.
Original languageEnglish
Title of host publication2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
Number of pages4
ISBN (Electronic)9781538645659
ISBN (Print)9781538645666
Publication statusPublished - 29 Nov 2018
EventCyber 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 201812 Jun 2018


ConferenceCyber Science 2018
Abbreviated titleCyber SA
Country/TerritoryUnited Kingdom


  • Taxonomy
  • Intrusion detection
  • Computer crime
  • Malware


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