PARGMF: A provenance-enabled automated rule generation and matching framework with multi-level attack description model-Reference-Cited by-同舟云学术

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PARGMF: A provenance-enabled automated rule generation and matching framework with multi-level attack description model

Published:2024-03 Issue: Volume:81 Page:103682
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Zipperle Michael^ORCID,Zhang Yu^ORCID,Chang Elizabeth^ORCID,Dillon Tharam^ORCID

Publisher

Elsevier BV

Reference42 articles.

1. 2020-009: Advanced persistent threat (APT) actors targeting Australian health sector organisations and COVID-19 essential services;Australian Cyber Security Centre (ACSC),2020

2. Cyber crime – the risks of working from home, https://www2.deloitte.com/ch/en/pages/risk/articles/covid-19-cyber-crime-working-from-home.html.

3. The financial impact of SolarWinds breach;Bitsight,2021

4. NODOZE: combatting threat alert fatigue with automated provenance triage;Hassan,2019

5. Needle in a haystack: attack detection from large-scale system audit;Yu,2019

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