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Automatic detection of emerging threats to computer networks

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dc.contributor.author McDonald, Andre M
dc.date.accessioned 2015-11-12T07:23:38Z
dc.date.available 2015-11-12T07:23:38Z
dc.date.issued 2015-10
dc.identifier.citation McDonald, A. 2015. Automatic detection of emerging threats to computer networks. In: The 5th CSIR conference, CSIR ICC, Pretoria, South Africa, 8- 9 October 2015 en_US
dc.identifier.uri conference.csir.co.za/wp-content/uploads/2015/05/3-Andre-Mcdonald_2015_csir_conference.pptx
dc.identifier.uri http://hdl.handle.net/10204/8255
dc.description The 5th CSIR conference, CSIR ICC, Pretoria, South Africa, 8- 9 October 2015 en_US
dc.description.abstract South Africa is growing increasingly reliant on information and communications technology (ICT) to provide access to information and services. In making progress towards bridging the digital divide, our country now faces a host of increasingly sophisticated threats against personal, financial and confidential information of both organisations and individuals. The potential impact of these threats is amplified due to the penetration of ICT systems into critical infrastructure such as the electricity grid, banks, the stock exchange and others. Conventional network security mechanisms are no longer able to protect computing resources from emerging threats due to the growing complexity of computer networks and technology. The purpose of network intrusion detection technology is to detect threats to networked information systems and networking infrastructure in an automated fashion, thereby providing an opportunity to deploy countermeasures. This presentation showcases the research and development of this technology at the CSIR, with emphasis on novel techniques for detecting emerging threats. en_US
dc.language.iso en en_US
dc.publisher CSIR en_US
dc.subject Digital divide en_US
dc.subject ICT systems en_US
dc.subject Electricity grid en_US
dc.subject Computer networks and technology en_US
dc.subject Network intrusion en_US
dc.title Automatic detection of emerging threats to computer networks en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation McDonald, A. (2015). Automatic detection of emerging threats to computer networks. CSIR. http://hdl.handle.net/10204/8255 en_ZA
dc.identifier.chicagocitation McDonald, A. "Automatic detection of emerging threats to computer networks." (2015): http://hdl.handle.net/10204/8255 en_ZA
dc.identifier.vancouvercitation McDonald A, Automatic detection of emerging threats to computer networks; CSIR; 2015. http://hdl.handle.net/10204/8255 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - McDonald, A AB - South Africa is growing increasingly reliant on information and communications technology (ICT) to provide access to information and services. In making progress towards bridging the digital divide, our country now faces a host of increasingly sophisticated threats against personal, financial and confidential information of both organisations and individuals. The potential impact of these threats is amplified due to the penetration of ICT systems into critical infrastructure such as the electricity grid, banks, the stock exchange and others. Conventional network security mechanisms are no longer able to protect computing resources from emerging threats due to the growing complexity of computer networks and technology. The purpose of network intrusion detection technology is to detect threats to networked information systems and networking infrastructure in an automated fashion, thereby providing an opportunity to deploy countermeasures. This presentation showcases the research and development of this technology at the CSIR, with emphasis on novel techniques for detecting emerging threats. DA - 2015-10 DB - ResearchSpace DP - CSIR KW - Digital divide KW - ICT systems KW - Electricity grid KW - Computer networks and technology KW - Network intrusion LK - https://researchspace.csir.co.za PY - 2015 T1 - Automatic detection of emerging threats to computer networks TI - Automatic detection of emerging threats to computer networks UR - http://hdl.handle.net/10204/8255 ER - en_ZA


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