dc.contributor.author |
Dawood, Zubeida C
|
|
dc.date.accessioned |
2019-05-07T07:03:36Z |
|
dc.date.available |
2019-05-07T07:03:36Z |
|
dc.date.issued |
2019-03 |
|
dc.identifier.citation |
Khan, Z.C. 2019. Categorising cyber security threats for standardisation. Proceedings of the 14th International Conference on Cyber Warfare and Security (ICCWS 2019), Stellenbosch University, South Africa, 28 February - 1 March 2019, pp 189-196. |
en_US |
dc.identifier.isbn |
978-1-912764-12-9 |
|
dc.identifier.isbn |
978-1-912764-11-2 |
|
dc.identifier.uri |
https://www.academic-conferences.org/conferences/iccws/iccws-future-and-past/
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/10985
|
|
dc.description |
Copyright: 2019 The Author. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website |
en_US |
dc.description.abstract |
Computer Security Incident Response Teams (CSIRTs) are responsible for data collection and analysis concerning cyber security threat incidents. In order to provide the best service support for cyber security breaches, information about how to classify encountered threats is required. A taxonomy can be used to provide an organisation of threats, while an ontology can be used to provide the organisation as well as complex relations among the threats. To assist with the representation and management of cyber security threats, this paper presents an ontology for categorising cyber security threats. The ontology can be used by CSIRTs for the collection of cyber threat information, to analyse the threats for reports, and to infer new knowledge about the cyber security threats that have been reported. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Academic Conferences and Publishing (ACPI). |
en_US |
dc.relation.ispartofseries |
Worklist;22267 |
|
dc.subject |
Computer Security Incident Response Teams |
en_US |
dc.subject |
CSIRT |
en_US |
dc.subject |
Cyber security |
en_US |
dc.subject |
Cyber threats |
en_US |
dc.subject |
Ontologies |
en_US |
dc.subject |
Taxonomies |
en_US |
dc.title |
Categorising cyber security threats for standardisation |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Khan, Z. C. (2019). Categorising cyber security threats for standardisation. Academic Conferences and Publishing (ACPI).. http://hdl.handle.net/10204/10985 |
en_ZA |
dc.identifier.chicagocitation |
Khan, Zubeida C. "Categorising cyber security threats for standardisation." (2019): http://hdl.handle.net/10204/10985 |
en_ZA |
dc.identifier.vancouvercitation |
Khan ZC, Categorising cyber security threats for standardisation; Academic Conferences and Publishing (ACPI).; 2019. http://hdl.handle.net/10204/10985 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Khan, Zubeida C
AB - Computer Security Incident Response Teams (CSIRTs) are responsible for data collection and analysis concerning cyber security threat incidents. In order to provide the best service support for cyber security breaches, information about how to classify encountered threats is required. A taxonomy can be used to provide an organisation of threats, while an ontology can be used to provide the organisation as well as complex relations among the threats. To assist with the representation and management of cyber security threats, this paper presents an ontology for categorising cyber security threats. The ontology can be used by CSIRTs for the collection of cyber threat information, to analyse the threats for reports, and to infer new knowledge about the cyber security threats that have been reported.
DA - 2019-03
DB - ResearchSpace
DP - CSIR
KW - Computer Security Incident Response Teams
KW - CSIRT
KW - Cyber security
KW - Cyber threats
KW - Ontologies
KW - Taxonomies
LK - https://researchspace.csir.co.za
PY - 2019
SM - 978-1-912764-12-9
SM - 978-1-912764-11-2
T1 - Categorising cyber security threats for standardisation
TI - Categorising cyber security threats for standardisation
UR - http://hdl.handle.net/10204/10985
ER - |
en_ZA |