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Towards optimising the detection of sophisticated attacks in Security Operation Centres (SOCs)

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 depending on machine learning algorithms, have proven inadequate in detecting sophisticated, multi-stage attacks. These solutions have often centred their detection on the identification of threats in individual network events, which sometimes look benign. Similarly, SOC analysts whose role involves ...

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Publication status:
Not published
Peer review status:
Not peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Journal:
CDT Technical Papers
Series:
CDT Technical Papers
Publication date:
2017-02-01
Source identifiers:
809740
Keywords:
Pubs id:
pubs:809740
UUID:
uuid:42749416-a6de-4ca5-9857-d961e66e2fec
Local pid:
pubs:809740
Deposit date:
2017-12-07

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