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An Assessment of the Usability of Machine Learning Based Tools for the
  Security Operations Center

An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center

16 December 2020
Sean Oesch
Robert A. Bridges
Jared M. Smith
Justin M. Beaver
J. Goodall
Kelly M. T. Huffer
Craig Miles
Daniel Scofield
    ELM
ArXiv (abs)PDFHTML

Papers citing "An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center"

5 / 5 papers shown
Digital Sovereignty Control Framework for Military AI-based Cyber Security
Digital Sovereignty Control Framework for Military AI-based Cyber Security
Clara Maathuis
Kasper Cools
155
0
0
16 Sep 2025
Large Language Models for Security Operations Centers: A Comprehensive Survey
Large Language Models for Security Operations Centers: A Comprehensive Survey
Ali Habibzadeh
Farid Feyzi
Reza Ebrahimi Atani
342
5
0
13 Sep 2025
ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
ContextBuddy: AI-Enhanced Contextual Insights for Security Alert Investigation (Applied to Intrusion Detection)
Ronal Singh
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
255
4
0
11 Jun 2025
On the use of neurosymbolic AI for defending against cyber attacks
On the use of neurosymbolic AI for defending against cyber attacksInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2024
G. Grov
Jonas Halvorsen
Magnus Wiik Eckhoff
Bjørn Jervell Hansen
Martin Eian
Vasileios Mavroeidis
AAMLNAI
283
6
0
09 Aug 2024
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of
  Machine Learning-Based Malware Detection
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection
Robert A. Bridges
Sean Oesch
Miki E. Verma
Michael D. Iannacone
Kelly M. T. Huffer
...
Daniel Scofield
Craig Miles
Thomas Plummer
Mark Daniell
Anne M. Tall
167
6
0
16 Dec 2020
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