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The challenge of detecting sophisticated attacks: Insights from SOC Analysts

Abstract:

The ever-increasing rate of sophisticated cyber-attacks and its subsequent impact on networks has remained a menace to the security community. Existing network security solutions, including those applying machine learning algorithms, often centre their detection on the identification of threats in individual network events, which is proven inadequate in detecting sophisticated multi-stage attacks. Similarly, SOC analysts whose roles involve detecting advanced threats are faced with a signific...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1145/3230833.3233280

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Association for Computing Machinery Publisher's website
Journal:
1st International Workshop on Cyber Threat Intelligence Management (CyberTIM 2018). ARES 2018 Journal website
Article number:
55
Host title:
ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security, August 27 - August 30, 2018, Hamburg, Germany
Publication date:
2018-08-27
Acceptance date:
2018-06-12
DOI:
Source identifiers:
859626
ISBN:
9781450364485
Pubs id:
pubs:859626
UUID:
uuid:06dd7d0f-8cc8-4f86-ad61-073fb5a99c03
Local pid:
pubs:859626
Deposit date:
2018-06-27

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