ThreatScout: Automated Threat Hunting Solution Using Machine Reasoning

In this article, we present ThreatScout, an automated threat hunting solution leveraging machine reasoning. Our evaluation on five threat actors shows hunting rates up to 92%, demonstrating ThreatScout’s effectiveness in automating threat hunting and enhancing proactive threat identification.

Authors

Mourad Debbabi (ORCID: https://orcid.org/0000-0003-3015-3043)
Boubakr Nour (ORCID: https://orcid.org/0000-0001-5609-856X)
Makan Pourzandi (ORCID: https://orcid.org/0000-0001-9775-6231)
Zineb Meriem Ferdjouni (ORCID: https://orcid.org/0009-0002-4791-1664)

Institutions

Ericsson (Canada) (CA)
Concordia University (CA)

Publication Details

Journal: IEEE Security & Privacy
Published: 2024-12-30
DOI: https://doi.org/10.1109/msec.2024.3492132
Citations: 1
Primary Topic: Advanced Malware Detection Techniques
Type: article
Field-Weighted Citation Impact: 0.35

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article

ThreatScout: Automated Threat Hunting Solution Using Machine Reasoning

Mourad Debbabi, Boubakr Nour, Makan Pourzandi, Zineb Meriem Ferdjouni

Dec 30, 2024

1 citations

IEEE Security & Privacy

Advanced Malware Detection Techniques

0.35

article

ThreatScout: Automated Threat Hunting Solution Using Machine Reasoning

Mourad Debbabi, Boubakr Nour, Makan Pourzandi, Zineb Meriem Ferdjouni

December 30, 2024article en

1 citations

Abstract

In this article, we present ThreatScout, an automated threat hunting solution leveraging machine reasoning. Our evaluation on five threat actors shows hunting rates up to 92%, demonstrating ThreatScout’s effectiveness in automating threat hunting and enhancing proactive threat identification.

IEEE Security & PrivacyVol. 23(5)

Ericsson (Canada) (CA), Concordia University (CA)

Openalex Percentile: Top 40%

Advanced Malware Detection Techniques

0.35

DOI Source OpenAlex

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