Conference item
The challenge of detecting sophisticated attacks: Insights from SOC Analysts
- Abstract:
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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:
-
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(Accepted manuscript, pdf, 446.1KB)
-
- Publisher copy:
- 10.1145/3230833.3233280
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Authors
Bibliographic Details
- 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
Item Description
- Pubs id:
-
pubs:859626
- UUID:
-
uuid:06dd7d0f-8cc8-4f86-ad61-073fb5a99c03
- Local pid:
- pubs:859626
- Deposit date:
- 2018-06-27
Terms of use
- Copyright holder:
- © 2018 Association for Computing Machinery
- Copyright date:
- 2018
- Notes:
- This is the author accepted manuscript following peer review version of the article. The final version is available online from ACM at: 10.1145/3230833.3233280
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